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<!DOCTYPE html>
<html lang="en">
<head>
<script async src="https://www.googletagmanager.com/gtag/js?id=G-HEKCE27K1S"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){ dataLayer.push(arguments); }
gtag('js', new Date());
gtag('config', 'G-HEKCE27K1S');
</script>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Industry Problem Statements — Makeathon 7.0</title>
<meta name="description" content="Industry track problem statements for Makeathon 7.0. Real-world challenges from leading companies." />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
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<link rel="stylesheet" href="css/base.css" />
<link rel="stylesheet" href="css/nav.css" />
<link rel="stylesheet" href="css/track.css" />
<link rel="stylesheet" href="css/tutorial.css" />
<style>
:root {
--ind-accent: #9146ff;
--ind-glow: rgba(145, 70, 255, 0.45);
}
/* ── Left panel ── */
.track-left {
background: rgba(9, 9, 20, 0.92);
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}
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/* Company logo thumbnail — white square container */
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background: #fff;
border-radius: 6px;
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}
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object-fit: contain;
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opacity: 0.85;
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}
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/* ── Right panel ── */
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transform: translate(-2px,-2px);
box-shadow: 6px 6px 0 rgba(145,70,255,0.3);
color: #fff;
}
/* ── Problem grid 2×2 ── */
.problem-list {
display: grid;
grid-template-columns: repeat(2,1fr);
gap: 16px;
width: 100%;
}
@media (max-width: 768px) { .problem-list { grid-template-columns: 1fr; } }
/* Skill card purple hover */
.problem-skill:hover { border-color: rgba(145,70,255,0.35); background: rgba(145,70,255,0.04); }
.problem-skill:hover .problem-skill__name { color: var(--ind-accent); }
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/* ── Modal purple tint ── */
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.ps-modal__close:hover { background: var(--ind-accent); border-color: var(--ind-accent); box-shadow: 0 0 15px var(--ind-glow); }
/* ── SDG badge ── */
.sdg-badge {
display: inline-block;
padding: 4px 12px;
background: rgba(145,70,255,0.1);
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border-radius: 6px;
font-family: 'Anton', sans-serif;
font-size: 0.72rem;
color: var(--ind-accent);
letter-spacing: 0.03em;
}
</style>
</head>
<body class="track-page-body">
<!-- Nav -->
<nav class="comic-nav universe-nav">
<div class="nav__container">
<a href="index.html" class="nav__logo" aria-label="Back to main">
<img src="assets/Logo/logo.svg" alt="Makeathon 7.0" class="nav__logo-img" />
</a>
<ul class="nav__links">
<li><a href="index.html#about" class="nav__link">About Us</a></li>
<li><a href="index.html#timeline" class="nav__link">Timeline</a></li>
<li><a href="index.html#problems" class="nav__link">Problem Statements</a></li>
<li><a href="index.html#sponsorship" class="nav__link">Sponsors</a></li>
<li><a href="index.html#team" class="nav__link">The Crew</a></li>
<li><a href="index.html#faq" class="nav__link">FAQ</a></li>
<li><a href="notifications.html" class="nav__link">Notifications</a></li>
</ul>
<a href="index.html#hero" class="btn btn--nav text-yellow">REGISTER</a>
<button class="nav__hamburger" id="nav-hamburger"
aria-label="Toggle menu" aria-expanded="false" aria-controls="nav-drawer">
<span></span><span></span><span></span>
</button>
</div>
</nav>
<!-- Mobile drawer -->
<div class="nav__drawer" id="nav-drawer" role="dialog" aria-label="Navigation menu">
<a href="index.html#about" class="nav__drawer-link">About Us</a>
<a href="index.html#timeline" class="nav__drawer-link">Timeline</a>
<a href="index.html#problems" class="nav__drawer-link">Problem Statements</a>
<a href="index.html#sponsorship" class="nav__drawer-link">Sponsors</a>
<a href="index.html#team" class="nav__drawer-link">The Crew</a>
<a href="index.html#faq" class="nav__drawer-link">FAQ</a>
<a href="notifications.html" class="nav__drawer-link">Notifications</a>
<a href="index.html#hero" class="btn btn--nav text-yellow">REGISTER</a>
</div>
<div class="nav__overlay" id="nav-overlay" aria-hidden="true"></div>
<!-- 2-col layout -->
<div class="track-layout" id="track-layout">
<aside class="track-left" id="track-left" aria-label="Company selector">
<div class="track-left__header" id="track-left-header"></div>
<div class="track-left__list" id="track-left-list"></div>
</aside>
<main class="track-right" id="track-right" aria-label="Company problem statements"></main>
</div>
<!-- PS Modal -->
<div class="ps-modal" id="ps-modal" aria-hidden="true">
<div class="ps-modal__overlay" id="ps-modal-overlay"></div>
<div class="ps-modal__content">
<button class="ps-modal__close" id="ps-modal-close" aria-label="Close">×</button>
<div id="ps-modal-body"></div>
</div>
</div>
<script src="js/core/hamburger.js"></script>
<script src="js/cursor.js"></script>
<script>
/* ═══════════════════════════════════════
DATA
═══════════════════════════════════════ */
const COMPANIES = [
{
name: "Ford Motor Company",
code: "FORD",
sector: "Automotive",
category: "Software",
logo: "assets/industry_logos/ford.jpg",
background: "assets/background/prowler_bg.jpg",
tagline: "Driving Innovation. Engineering Tomorrow.",
problems: [
{
title: "AI-Based Interview Preparation Assistant",
domain: "AI & Machine Learning", subdomain: "Customer Experience", tag: "AI / NLP",
desc: "Students preparing for placements often rely on generic practice resources and lack access to personalized, real-time interview feedback. This results in poor communication skills, weak technical articulation, and reduced confidence during actual interviews.",
solution: [
"Build a chat + voice-based AI interviewer that simulates real interview scenarios (HR + technical).",
"Analyze candidate responses for clarity, confidence, correctness, and structure.",
"Provide real-time feedback on communication, tone, and content quality.",
"Generate personalized improvement suggestions and mock interview reports.",
"Maintain user history to track progress over time and adapt difficulty levels."
],
sdg: "SDG 4 - Quality Education"
},
{
title: "Smart Expense Analyzer for Students",
domain: "FinTech", subdomain: "Personal Finance", tag: "FinTech / AI",
desc: "Students frequently overspend due to lack of awareness about their financial habits and poor budgeting practices. Existing tools do not provide intelligent insights or personalized recommendations. This results in inefficient money management and reduced savings.",
solution: [
"Build an expense tracking system with automatic categorization of transactions.",
"Analyze spending patterns using AI to detect unnecessary expenses.",
"Provide personalized budgeting plans and savings recommendations.",
"Generate visual dashboards showing trends and category breakdowns.",
"Send alerts for overspending and unusual financial behavior."
],
sdg: "SDG 8 - Decent Work & Economic Growth"
},
{
title: "Subscription Tracker",
domain: "FinTech", subdomain: "Personal Finance", tag: "FinTech / Productivity",
desc: "Users often forget about recurring subscriptions, leading to unnecessary charges and financial loss. Many platforms lack centralized tracking and timely reminders. This results in poor subscription management and wasted expenses.",
solution: [
"Track and manage all recurring subscriptions in a centralized platform.",
"Send proactive alerts before billing cycles and renewal dates.",
"Provide detailed spending insights across subscription categories.",
"Identify and recommend cancellation of unused or redundant subscriptions.",
"Enable easy subscription management and renewal control."
],
sdg: "SDG 12 - Responsible Consumption"
},
{
title: "Mental Health Chat Support Bot",
domain: "Healthcare", subdomain: "Digital Health", tag: "Healthcare / NLP",
desc: "Mental health issues among students are increasing due to academic and social pressures, yet many avoid seeking help due to stigma and lack of access. Traditional support systems are limited and not always available. This creates a gap in timely and accessible mental health support.",
solution: [
"Develop an anonymous AI chatbot capable of empathetic conversations.",
"Use NLP to detect emotional states such as stress, anxiety, or distress.",
"Provide coping strategies, mindfulness exercises, and supportive guidance.",
"Implement escalation mechanisms for critical cases with professional resources.",
"Ensure strong privacy, anonymity, and multilingual accessibility."
],
sdg: "SDG 3 - Good Health & Well-being"
},
{
title: "Medicine Reminder + Interaction Checker",
domain: "Healthcare", subdomain: "Digital Health", tag: "Healthcare / Safety",
desc: "Patients often forget to take medications on time or unknowingly consume unsafe drug combinations. Lack of proper tracking and awareness can lead to serious health risks. Existing solutions are not proactive or intelligent enough.",
solution: [
"Provide intelligent medication reminders with scheduling and notifications.",
"Detect potential drug interactions using a medical database.",
"Maintain medication history and dosage tracking.",
"Alert users about missed doses and potential risks.",
"Offer basic guidance and safety warnings for medication usage."
],
sdg: "SDG 3 - Good Health & Well-being"
},
{
title: "Energy Consumption Dashboard",
domain: "Energy & Sustainability", subdomain: "Energy Analytics", tag: "Energy / IoT",
desc: "Users lack visibility into their energy usage patterns, leading to inefficient consumption and higher costs. Traditional systems do not provide real-time insights or actionable recommendations. This results in energy wastage and poor optimization.",
solution: [
"Collect energy usage data via smart meters or IoT sensors.",
"Visualize real-time and historical consumption through dashboards.",
"Analyze usage patterns to detect inefficiencies and anomalies.",
"Provide actionable recommendations for reducing energy consumption.",
"Estimate cost savings and optimize energy usage behavior."
],
sdg: "SDG 7 - Affordable & Clean Energy"
},
{
title: "Skill Gap Analyzer for Students",
domain: "Education", subdomain: "Career Development", tag: "EdTech / AI",
desc: "Students are often unaware of the skills required by the industry and how they compare to current expectations. This leads to poor preparation and missed opportunities. Existing tools lack personalized and actionable insights.",
solution: [
"Build an AI-powered system that parses resumes and user profiles to extract structured skill data using NLP techniques.",
"Map extracted skills against real-time industry requirements using job descriptions, hiring trends, and role-specific frameworks.",
"Compute a skill gap score or readiness index highlighting missing competencies across technical and soft skill dimensions.",
"Generate personalized learning pathways with curated courses, projects, and timelines aligned to target roles.",
"Provide resume optimization feedback including keyword enhancement and ATS compatibility improvements.",
"Continuously track user progress and dynamically update recommendations through periodic reassessment."
],
sdg: "SDG 4 - Quality Education"
},
{
title: "Live Phishing URL Detector",
domain: "Cybersecurity", subdomain: "Web Security", tag: "Cybersecurity / ML",
desc: "Users frequently fall victim to phishing attacks due to lack of awareness and real-time detection tools. Malicious links can lead to data breaches and financial loss. Existing solutions are not always accessible or immediate.",
solution: [
"Develop a real-time URL analysis engine using ML models trained on phishing and legitimate datasets.",
"Extract features such as domain age, URL structure, SSL certificates, and content patterns for classification.",
"Provide instant classification results with a risk score and explainability.",
"Integrate browser extensions or mobile APIs for real-time detection during user interaction.",
"Continuously update threat intelligence using dynamic datasets and feedback loops."
],
sdg: "SDG 9 - Industry, Innovation & Infrastructure"
},
{
title: "Smart Parking Availability System",
domain: "Smart Cities", subdomain: "Urban Mobility", tag: "IoT / Smart Cities",
desc: "Drivers spend significant time searching for parking in crowded areas, leading to traffic congestion and fuel wastage. Lack of real-time parking data worsens the issue. This creates inefficiency in urban mobility.",
solution: [
"Deploy IoT sensors or computer vision models to detect real-time parking space occupancy.",
"Aggregate data from multiple parking zones into a centralized backend system.",
"Use predictive analytics to forecast parking availability based on historical and live data.",
"Provide a map-based interface displaying available slots with dynamic updates.",
"Integrate navigation assistance guiding users to nearest available parking spots."
],
sdg: "SDG 11 - Sustainable Cities & Communities"
},
{
title: "AI-Based Smart Notes Summarizer",
domain: "Productivity Tools", subdomain: "NLP", tag: "NLP / AI",
desc: "Users spend excessive time reading long documents to extract key information. Manual summarization is inefficient and time-consuming. Existing tools lack accuracy and customization.",
solution: [
"Build an NLP-based system that processes text and PDF documents for summarization.",
"Use transformer-based models to generate context-aware, concise summaries.",
"Extract key phrases, topics, and important sections using semantic analysis.",
"Provide customizable summary outputs (short, detailed, bullet-based formats).",
"Support batch processing and multi-document summarization."
],
sdg: "SDG 9 - Industry, Innovation & Infrastructure"
},
{
title: "Real-Time Quiz & Leaderboard System",
domain: "Education Technology", subdomain: "EdTech Systems", tag: "EdTech / Backend",
desc: "Traditional learning methods lack interactive and engaging assessment tools. Students do not receive instant feedback or competitive motivation. This reduces engagement and learning effectiveness.",
solution: [
"Design a scalable backend system to handle real-time quiz participation with low latency.",
"Implement instant evaluation logic with dynamic scoring and feedback mechanisms.",
"Maintain live leaderboards with ranking updates based on user performance.",
"Support multiple quiz formats (MCQ, timed rounds, adaptive difficulty).",
"Enable concurrent participation with efficient session and state management.",
"Provide analytics on user performance, accuracy, and response time."
],
sdg: "SDG 4 - Quality Education"
}
]
},
{
name: "Walmart",
code: "WALMART",
sector: "Retail / E-Commerce",
category: "Software",
logo: "assets/industry_logos/walmart.webp",
background: "assets/background/prowler_bg.jpg",
tagline: "Save Money. Live Better.",
problems: [
{
title: "AI-Based Garment Return Reduction System",
domain: "AI & Machine Learning", subdomain: "Customer Experience / Retail Analytics", tag: "AI / Retail Analytics",
desc: "E-commerce platforms face high return rates in apparel due to inconsistent sizing, poor fit, and mismatched customer expectations. This leads to increased logistics costs, operational inefficiencies, and environmental impact. Existing solutions lack personalization and predictive capabilities.",
solution: [
"Develop a predictive system that analyzes historical return data, user behavior, and product attributes to estimate return probability and generate a confidence score during purchase.",
"Build a personalized size and fit recommendation engine using user profiles, past purchases, and brand-specific variations, optionally enhanced with computer vision for virtual try-on or body measurement.",
"Implement real-time decision support at checkout, including risk alerts, fit suggestions, and product insights derived from metadata such as fabric, reviews, and fit type.",
"Create retailer dashboards with analytics on high-return products, customer patterns, and feedback loops to continuously improve model accuracy and optimize inventory decisions."
],
sdg: ["SDG 12 - Responsible Consumption & Production"]
},
{
title: "AI Agent for Government E-Seva Services",
domain: "AI & Machine Learning", subdomain: "Conversational AI / Public Services", tag: "AI / Public Services",
desc: "Accessing government services is often complex, time-consuming, and language-restricted. Many users struggle with forms, procedures, and documentation. This leads to inefficiency and dependency on intermediaries.",
solution: [
"Develop a multilingual conversational AI agent using NLP and speech processing models.",
"Enable end-to-end workflow automation for services like certificates, ID updates, and applications.",
"Provide step-by-step guidance with real-time validation of user inputs and documents.",
"Integrate voice input/output for accessibility in low-literacy environments.",
"Connect with government APIs or simulated workflows for seamless processing.",
"Ensure data privacy, security, and compliance with government standards."
],
sdg: ["SDG 8 - Decent Work & Economic Growth"]
},
{
title: "AI Agent for Event Management in India",
domain: "AI & Machine Learning", subdomain: "Event Management Automation", tag: "AI / Event Management",
desc: "Event planning involves multiple tasks such as scheduling, vendor coordination, communication, and resource management, which are often handled manually. This leads to inefficiencies, delays, and poor user experience. Existing tools lack intelligent automation and personalization.",
solution: [
"Design an AI-driven agent capable of managing end-to-end event workflows through conversational interfaces, including planning, scheduling, and coordination of tasks.",
"Integrate vendor and resource management by connecting to service providers (venues, catering, logistics) with real-time availability and automated booking capabilities.",
"Automate timeline management, reminders, and task prioritization while providing intelligent recommendations for budgeting, vendor selection, and event configurations.",
"Develop centralized dashboards and communication systems for real-time updates, stakeholder coordination, and post-event analytics including cost tracking and performance insights."
],
sdg: ["SDG 8 - Decent Work & Economic Growth"]
},
{
title: "Automatic Library Book Arranging Robot using Computer Vision",
domain: "Computer Vision", subdomain: "Robotics Automation", tag: "CV / Robotics",
desc: "Manual arrangement of books in libraries is time-consuming and prone to errors, especially in large systems. Misplaced books reduce efficiency and accessibility. Automation in this area is limited.",
solution: [
"Develop a robotic system integrated with computer vision for book identification and classification.",
"Use image recognition or tagging (QR/RFID) to detect misplaced books and correct positions.",
"Implement autonomous navigation with obstacle avoidance within library environments.",
"Design a mechanical system for picking, sorting, and placing books accurately.",
"Sync robot actions with a digital catalog for real-time inventory updates.",
"Optimize path planning for efficient movement across shelves.",
"Ensure system reliability and scalability for large libraries."
],
sdg: ["SDG 9 - Industry, Innovation & Infrastructure"]
},
{
title: "Solution for Cart Abandonment in E-Commerce Websites",
domain: "Customer Experience", subdomain: "Conversion Optimization", tag: "CX / Optimization",
desc: "E-commerce platforms face high cart abandonment rates due to indecision, pricing concerns, or lack of engagement. This leads to significant revenue loss. Existing systems lack intelligent intervention mechanisms.",
solution: [
"Build a behavioral analytics system to track user interactions during browsing and checkout.",
"Use predictive models to estimate abandonment probability in real-time.",
"Trigger personalized interventions such as discounts, urgency prompts, or recommendations.",
"Implement multi-channel re-engagement strategies (email, push notifications, SMS).",
"Analyze drop-off points and optimize UI/UX flows based on insights."
],
sdg: ["SDG 12 - Responsible Consumption & Production"]
}
]
},
{
name: "SOLVITAE",
code: "SOLVITAE",
sector: "Emerging Technologies",
category: "HARDWARE",
logo: "assets/industry_logos/solvitae.jpg",
background: "assets/background/prowler_bg.jpg",
tagline: "Smart Vehicle Monitoring & Tracking",
problems: [
{
title: "Design of a Plug-and-Play Smart Vehicle Monitoring and Tracking System",
domain: "IoT & Embedded Systems",
subdomain: "Automation",
tag: "IoT / Hardware",
desc: "With the rapid growth of transportation and logistics systems, the demand for efficient vehicle monitoring and safety solutions has significantly increased. However, existing vehicle tracking systems are largely dependent on GSM-based communication and subscription-driven cloud platforms. These systems not only incur recurring costs but also face limitations in areas with poor or no cellular connectivity, making them unreliable for continuous tracking and monitoring.<br><br>Additionally, current solutions primarily focus on basic location tracking and fail to provide deeper insights such as trip-based analytics, vehicle idle time, rest duration, movement patterns, and geofencing capabilities. More critically, they lack integrated mechanisms for driver safety monitoring, such as detecting drowsiness or fatigue, which is a major cause of road accidents.<br><br>Another major limitation is the lack of plug-and-play adaptability, requiring complex installation and configuration, thereby reducing usability across diverse vehicle types.<br><br>There is a clear need for a self-sufficient, intelligent vehicle tracking system that can function without GSM dependency, provide advanced monitoring features, and operate effectively in both connected and disconnected environments. The system should also ensure data reliability, low power consumption, and seamless integration into existing transportation infrastructures.",
solution: [
"Enable accurate real-time and offline GPS tracking, with complete trip logging from source to destination.",
"Record and analyze vehicle idle time, rest duration, and movement behavior.",
"Support geofencing and area-based tracking to monitor vehicle movement within defined zones.",
"Detect and alert over-speeding conditions to improve driving discipline.",
"Integrate driver drowsiness detection mechanisms using sensors or vision-based approaches.",
"Utilize non-GSM communication technologies such as LoRa, or similar methods for data transmission.",
"Incorporate local data storage to ensure uninterrupted logging during connectivity loss.",
"Be designed as a compact, plug-and-play hardware module compatible with different vehicle types.",
"Provide a user interface/dashboard for visualizing trip history, alerts, and analytics."
],
sdg: [
"SDG 9 - Industry, Innovation & Infrastructure"
]
},
{
title: "Design and Development of a Plug-and-Play Overspeed Alert System for Diesel Forklifts",
domain: "IoT & Embedded Systems",
subdomain: "Automation",
tag: "IoT / Hardware",
desc: "In industrial environments such as warehouses, manufacturing units, and logistics hubs, diesel forklifts are widely used for material handling operations. However, many of these forklifts lack built-in speed monitoring or odometer systems, making it difficult to regulate their operating speed.<br><br>Operating forklifts beyond safe speed limits (typically 5\u20137 km/h in indoor environments) poses significant risks, including: workplace accidents and collisions, damage to goods and infrastructure, and increased safety hazards for personnel.<br><br>Existing solutions often require intrusive modifications to the forklift\u2019s engine or control system, which void manufacturer warranties, increase installation complexity, and raise maintenance costs.<br><br>There is a critical need for a non-intrusive, plug-and-play solution that can monitor forklift speed accurately, detect overspeed conditions, and instantly notify concerned authorities.",
solution: [
"Develop a plug-and-play module that can be easily installed without altering the forklift.",
"Accurately monitor vehicle speed and detect overspeed conditions (above 5\u20137 km/h).",
"Send real-time alerts to authorities and support configurable speed thresholds.",
"Constraint: The system must operate without GSM-based communication.",
"Ensure the solution is compact, reliable, and suitable for industrial environments.",
"Use alternative technologies such as Wi-Fi, Bluetooth, LoRa, Mesh Network, RF, or edge-based alert systems."
],
sdg: [
"SDG 9 - Industry, Innovation & Infrastructure"
]
}
]
},
{
name: "Delphi TVS",
code: "DELPHI",
sector: "Automotive Solutions",
category: "HARDWARE",
logo: "assets/industry_logos/delphi.png",
background: "assets/background/prowler_bg.jpg",
tagline: "Enhancing Worker Safety and Productivity",
problems: [
{
title: "Emotion-Aware Smart Factory System for Enhancing Worker Safety and Productivity",
domain: "Robotics & Industrial Automation",
subdomain: "Human-Machine Interaction / Industrial AI / Workplace Safety Systems",
tag: "Industrial AI / Safety",
desc: "Industrial environments often demand long working hours and repetitive tasks, leading to worker fatigue, stress, and reduced attention levels. These factors can significantly impact productivity and increase the risk of workplace accidents. Existing factory monitoring systems focus primarily on machine performance, with limited consideration for human factors.<br><br>There is a need for an intelligent system that can monitor indicators of worker fatigue and stress using non-intrusive sensing methods and adapt factory operations accordingly. The solution should enable real-time analysis of worker conditions and support safer, more efficient industrial workflows while ensuring privacy and ethical data handling.",
solution: [],
sdg: [
"SDG 3 - Good Health and Well-being",
"SDG 8 - Decent Work and Economic Growth",
"SDG 9 - Industry, Innovation, and Infrastructure"
]
},
{
title: "Autonomous Night-Shift Factory Monitoring and Control System",
domain: "Robotics & Industrial Automation",
subdomain: "Autonomous Systems / Industrial IoT / Smart Manufacturing",
tag: "Industrial IoT / AI",
desc: "Industrial operations during night shifts often face reduced supervision, increased safety risks, and lower efficiency due to limited human presence. Fully manual monitoring during these hours is inefficient and prone to delays in fault detection and response. There is a need for an intelligent system that enables factories to operate autonomously during night shifts with minimal or no human intervention. The system should integrate real-time monitoring, fault detection, decision-making, and security mechanisms to ensure safe and continuous operation.",
solution: [],
sdg: [
"SDG 8 - Decent Work and Economic Growth",
"SDG 9 - Industry, Innovation, and Infrastructure"
]
},
{
title: "Renewable Energy-Aware Intelligent Production Scheduling System Safety and Productivity",
domain: "Smart Manufacturing / Industrial Automation",
subdomain: "Energy Optimization / AI Based Scheduling / Industrial IoT",
tag: "Industrial AI / Energy",
desc: "Industrial manufacturing processes typically follow fixed production schedules without considering fluctuations in renewable energy availability. As industries increasingly adopt renewable sources such as solar and wind, variability in power generation creates challenges in efficient energy utilization and cost optimization. There is a need for an intelligent scheduling system that dynamically aligns production tasks with renewable energy availability. The system should optimize task allocation, reduce dependence on non-renewable energy, and maintain production efficiency by adapting to real-time and predicted energy conditions.",
solution: [],
sdg: [
"SDG 7 - Affordable and Clean Energy",
"SDG 9 - Industry, Innovation, and Infrastructure",
"SDG 12 - Responsible Consumption and Production",
"SDG 13 - Climate Action"
]
}
]
},
{
name: "Space Machines Company",
code: "SMC",
sector: "Space Tech Communication",
category: "HARDWARE",
logo: "assets/industry_logos/space_machines.png",
background: "assets/background/prowler_bg.jpg",
tagline: "Aerial Distress Detection System",
problems: [
{
title: "Last Signal Standing: Aerial Distress Detection & Micro-Relay System for Network-Down Disaster Zones",
domain: "Disaster Management",
subdomain: "Public Protection and Disaster Relief",
tag: "Hardware / RF",
desc: "<strong>Problem Statement:</strong><br>In disaster situations such as floods, earthquakes, and large-scale accidents, conventional communication infrastructure often fails, leaving survivors unable to send distress signals despite having functional personal devices such as mobile phones or radios.<br><br>The challenge is to design and prototype a lightweight, aerostat-compatible payload system (deployable on a tethered aerostat at ~2 km altitude) that can detect, capture, and relay distress signals from survivors using existing devices, without relying on cellular or internet connectivity.<br><br>The system should function as a temporary aerial \u201clast-resort communication bridge\u201d, enabling rescue teams to identify and prioritize areas where survivors are likely present.<br><br><strong>Impact:</strong><br>This problem addresses a critical gap in disaster response: the inability to detect and communicate with survivors when conventional networks fail. The proposed solutions have direct relevance to NDMA, SDRF, defense, and emergency response agencies, and encourage participants to build systems that can save lives in real-world scenarios.",
solution: [
"Develop a working prototype or system-level solution that includes a distress signal detection mechanism.",
"Use passive detection of RF emissions (e.g., WiFi probe requests, Bluetooth signals, LoRa transmissions), or active triggering mechanism to elicit responses from nearby devices.",
"Integrate a low-bandwidth communication module to relay critical information to a ground station (e.g., LoRa, mesh, or SDR).",
"Build a basic edge intelligence layer to filter noise and false positives, identify and prioritize human presence, and optimally estimate location using signal strength or clustering.",
"Design a payload system suitable for aerostat deployment, including a clear block diagram (sensing, processing, communication, power).",
"Time Constraint: Scope for a 24-hour hackathon, focusing on proof-of-concept using readily available hardware.",
"Power Limitation: Operate under limited power conditions with efficient sensing and communication strategies.",
"Communication Limitation: Assume no cellular or internet connectivity.",
"Hardware Constraints: Use accessible platforms such as ESP32, Arduino, Raspberry Pi, LoRa modules, BLE, or SDRs.",
"Operational Realism: Simulate real disaster conditions where survivors are not directly visible or connected."
],
sdg: [
"SDG 11 - Sustainable Cities and Communities",
"SDG 13 - Climate Action"
]
}
]
},
{
name: "ApexFlow Technologies",
code: "APEX",
sector: "Practical IT Solutions for SMEs",
category: "Hybrid & Software",
logo: "assets/industry_logos/apex.jpeg",
background: "assets/background/prowler_bg.jpg",
pdf: "assets/Hackathon Problem Statements.pdf",
tagline: "Securing the Future of IT.",
problems: [
{
title: "The Air Gapped Optical Data Bridge",
domain: "Cyber Security", subdomain: "Air-Gapped Systems & Secure Data Transfer", tag: "Security / Hardware",
desc: "<strong>The Problem:</strong> Air gapped computers, like high-security computers used by the defense department or top-tier fintech companies, are not connected to the internet for security purposes. However, sometimes it is necessary for a small amount of information, like a piece of encrypted data, to be extracted without having access to a USB cord.",
solution: [
"<strong>The Hardware:</strong> Create a transmitter using a fast-blinking LED light and a receiver using a Light Dependent Resistor (LDR) or a photodiode.",
"<strong>The Software:</strong> Create a script that can convert a text document or image into a binary code, transmit it as a blinking light, and a second script that can receive this light and translate it back into the original document/image on a completely disconnected computer."
],
sdg: ["SDG 9 - Industry, Innovation & Infrastructure"]
},
{
title: "Hardware-Level Anti-Deepfake Audio Nodes",
domain: "Cyber Security & AI", subdomain: "Deepfake Detection & Audio Authentication", tag: "AI / Hardware",
desc: "<strong>The Problem:</strong> Deepfake technology is so advanced that software alone can't reliably detect it. We need a piece of hardware that can cryptographically \"sign\" real human audio as it first hits the microphone.",
solution: [
"<strong>The Hardware:</strong> Create a special microphone (with a Raspberry Pi or ESP32) that can pick up audio and simultaneously add a cryptographic watermark, like an ultrasonic sound, into the audio stream.",
"<strong>The Software:</strong> Create a web interface where a journalist/user can upload a piece of audio. The software can then scan for this special watermark. If it is not present, it can flag the audio as \"Potentially AI-Generated or Tampered\"."
],
sdg: ["SDG 16 - Peace, Justice & Strong Institutions"]
},
{
title: "Passive Crowd Crush Detection via Packet Sniffing",
domain: "Embedded Systems & Smart Cities", subdomain: "Crowd Monitoring & Detection", tag: "IoT / Smart Cities",
desc: "<strong>The Problem:</strong> Using cameras to monitor the density of crowds in festivals or railway stations requires immense bandwidth and invades users' privacy.",
solution: [
"<strong>Hardware:</strong> Utilize an ESP32 microcontroller in monitor mode to passively detect and record all the WiFi probe requests and Bluetooth MAC addresses in the immediate area.",
"<strong>Software:</strong> Utilize a data visualization platform to monitor the number of devices sending probe requests to the microcontroller. If the number of devices in the 5-meter radius suddenly surges beyond a critical point, then an automated alert will be sent to the authorities."
],
sdg: ["SDG 11 - Sustainable Cities & Communities"]
},
{
title: "DNS Tunneling and Data Exfiltration Detector",
domain: "Network Security", subdomain: "DNS Security & Threat Detection", tag: "Cybersecurity / Networking",
desc: "<strong>The Problem:</strong> Malware authors have developed cunning methods to evade traditional firewall security measures by encoding their stolen data and sending it via normal DNS queries.",
solution: [
"<strong>The Challenge:</strong> Develop a network packet sniffing application that monitors DNS queries in real time to detect data exfiltration.",
"<strong>Expected Deliverable:</strong> A script that analyzes the lengths, frequency, and entropy of DNS queries. The script will have to create a baseline of normal DNS queries and raise a high-priority alert if it detects abnormal, long, and random subdomains associated with data exfiltration attacks, such as askjdfhakjdhfak.badguyserver.com."
],
sdg: ["SDG 9 - Industry, Innovation & Infrastructure"]
},
{
title: "Zero-Trust CI/CD Pipeline Auditor",
domain: "Software Engineering Security", subdomain: "CI/CD Pipeline Security", tag: "DevSecOps / Security",
desc: "<strong>The Problem:</strong> Supply chain attacks are extremely destructive. An attacker hacks into the software development pipelines (CI/CD) where software is created and injects their malicious malware into the company's official software updates before it even reaches the end customer.",
solution: [
"<strong>The Challenge:</strong> Create a software auditing tool to automatically scan a repository's deployment config files (e.g., GitHub Actions or Jenkins Pipelines) for security misconfigurations.",
"<strong>Expected Deliverable:</strong> A software tool to ingest a repository and identify critical security vulnerabilities such as overly privileged tokens, hardcoded credentials, or execution of unknown third-party scripts. It should produce a clean and easy-to-read \"security grade\" report for the development team."
],
sdg: ["SDG 9 - Industry, Innovation & Infrastructure"]
},
{
title: "Intelligent Phishing & Scam Spotter",
domain: "Artificial Intelligence", subdomain: "Phishing Detection & NLP", tag: "AI / NLP",
desc: "<strong>The Problem:</strong> Phishing emails are becoming too realistic, and spam filters are not catching them.",
solution: [
"<strong>The Challenge:</strong> Design a browser extension or a simple web interface that will allow users to paste their suspicious emails or text messages. The AI will not simply say \"safe\" or \"spam.\" Instead, it will point out the sentences in the email that are using psychological manipulation tactics and explain why they're suspicious.",
"<strong>Expected Deliverable:</strong> A working browser extension or web interface that will allow users to paste their suspicious emails or text messages and receive a color-coded explanation of the suspicious sentences using psychological manipulation tactics."
],
sdg: ["SDG 16 - Peace, Justice & Strong Institutions"]
},
{
title: "Smart Receipt & Budget Categorizer",
domain: "Artificial Intelligence", subdomain: "OCR & Expense Management", tag: "AI / FinTech",
desc: "<strong>The Problem:</strong> Budgeting is a pain. People have receipts but don't want to manually enter all the information into a spreadsheet.",
solution: [
"<strong>The Challenge:</strong> Design a mobile-friendly web app that will allow users to upload a picture of their receipts. The app will need to parse the receipt to determine the total amount and then automatically categorize the expense using artificial intelligence.",
"<strong>Expected Deliverable:</strong> A working web app that will allow users to upload a picture of their receipts and then display the information in a neat and clean JSON format using an LLM prompt and Optical Character Recognition API."
],
sdg: ["SDG 8 - Decent Work & Economic Growth"]
}
]
},
{
name: "ThynkLoop",
code: "TL",
sector: "HealthTech",
category: "HARDWARE",
logo: "assets/industry_logos/thinkloop.png",
background: "assets/background/prowler_bg.jpg",
tagline: "Connecting Healthcare Through Innovation.",
problems: [
{
title: "Digitalization of Mechanical Medical Devices for Remote Monitoring and Safer Healthcare",
domain: "HealthTech", subdomain: "Internet of Medical Things", tag: "HealthTech / IoT",
desc: "During critical situations such as the COVID-19 pandemic, healthcare professionals faced significant risks while manually operating and monitoring ventilators and other mechanical medical devices. Most conventional ventilators are either partially digital or completely mechanical, requiring doctors and nurses to be physically present for adjustments and observation. This close interaction increases the risk of infection transmission and limits the ability to monitor multiple patients efficiently.<br><br>Additionally, existing solutions are often expensive, require full equipment replacement, or lack compatibility with older devices commonly used in rural and resource-limited hospitals. There is a need for a cost-effective and scalable approach to transform existing mechanical ventilators into smart, connected systems. By leveraging IoT technology for real-time data acquisition and remote monitoring, healthcare professionals can improve patient care, reduce exposure risks, and enhance operational efficiency in intensive care environments.",
solution: [
"Plug-and-play smart adapter that can be attached to existing ventilator tubes without affecting airflow.",
"Integration of sensors to capture key parameters such as airflow, pressure, oxygen levels, and breathing rate.",
"Microcontroller-based system for real-time data processing and wireless transmission.",
"Mobile or web application for remote monitoring of patient data.",
"Real-time alerts and notifications for abnormal conditions.",
"Centralized dashboard for monitoring multiple patients simultaneously.",
"Secure data transmission and storage for medical reliability.",
"Scalable design adaptable to other mechanical medical devices (e.g., CPAP, oxygen concentrators)."
],
sdg: [
"SDG 3 - Good Health & Well-being",
"SDG 9 - Industry, Innovation & Infrastructure"
]
}
]
},
{
name: "Marketview360",
code: "MV360",
sector: "Financial Technology",
category: "Software",
logo: "assets/industry_logos/marketview360.jpeg",
background: "assets/background/prowler_bg.jpg",
pdf: "assets/Upcheck and Marketview360 Industry Statement (1).pdf",
tagline: "Proactive Signal Detection & Early Warnings",
problems: [
{
title: "Proactive Signal Detection - Early Warnings and Event-Driven Risk Identification in Equity Markets",
domain: "Artificial Intelligence & Financial Technology",
subdomain: "Signal Detection / Equity Market Risk Intelligence",
tag: "FinTech / AI",
desc: "<strong>Background:</strong><br>Equity markets generate enormous volumes of signals daily from price movements and volume patterns to macroeconomic announcements, earnings reports, and geopolitical developments. Individually, these signals may appear unremarkable. But in combination, or when observed over time, they can indicate meaningful shifts in a stock's risk profile or growth trajectory.<br><br>The challenge for individual investors is twofold: the volume of available information far exceeds human processing capacity, and the signals that matter most are rarely the most visible. Slow-building deterioration in business fundamentals, for example, may not manifest in price until it is too late to act. Similarly, a sudden regulatory change or supply chain disruption can reprice a stock within hours, leaving investors who rely on periodic review exposed.<br><br><strong>Problem Statement:</strong><br>Stock performance is influenced by two distinct categories of signals: gradual, accumulating early warning indicators that build over time, and discrete, time-sensitive events that can materially alter a company's outlook in a short window. Current tools available to retail investors tend to focus on one or the other — technical charting for trend-based analysis, and news feeds for event monitoring — without meaningfully integrating the two into a coherent, actionable view.<br><br>How can a system be designed to simultaneously monitor for emerging risk patterns across financial and operational indicators while remaining responsive to breaking events - and surface this intelligence to users in a form that is timely, clear, and contextually relevant?<br><br><strong>Objective:</strong><br>Design a system that continuously monitors equity-related data to detect both gradual early warning indicators and discrete material events. The system should correlate these signals, assess their likely impact on the relevant stock or portfolio, and present users with timely, clearly structured insights that support informed decision-making without requiring deep financial expertise.<br><br><strong>Evaluation Criteria:</strong><br>• Quality and relevance of the signal detection approach — what is monitored and why<br>• Ability to distinguish material signals from background noise<br>• Integration of early warning and event-based detection into a coherent output<br>• Clarity and usability of the insight format presented to the end user<br>• Scalability of the approach across multiple stocks, sectors, or event types",
solution: [
"Define what constitutes a meaningful early warning signal versus routine market noise.",
"Identify and classify event types that carry material impact on stock valuations.",
"Design a system architecture that can process both slowly evolving trends and fast-moving event signals.",
"Deliver insights to users in a form that is actionable, not just informative, within a relevant time window.",
"Avoid alert fatigue by maintaining signal quality and ensuring relevance to the user's holdings or watchlist."
],
sdg: [
"SDG 8 - Decent Work & Economic Growth",
"SDG 10 - Reduced Inequalities"
]
},
{
title: "Domain-Specific Small Language Models for Retail Investment Intelligence",
domain: "Artificial Intelligence & Financial Technology",
subdomain: "Small Language Models / Domain-Specific NLP for Finance",
tag: "SLM / FinTech",
desc: "<strong>Background:</strong><br>The democratisation of retail investing over the past decade has substantially increased the proportion of individual investors participating in equity markets. Modern investment platforms now offer a broad suite of tools — screeners, analytics dashboards, and increasingly, AI-powered assistants — to support this growing user base.<br><br>The most capable AI models available today are general-purpose Large Language Models (LLMs). While these models demonstrate impressive breadth of knowledge, their application in financial contexts reveals consistent limitations: imprecision on domain-specific terminology, hallucinated facts, regulatory unawareness, and a tendency to produce verbose responses that are difficult to act on. For retail investors, these shortcomings are not merely inconvenient — they can directly influence financial decisions.<br><br>At the same time, the computational cost of deploying large-scale LLMs within a real-time, consumer-facing investment platform is prohibitive. What is needed is a model that is smaller and faster, but significantly more accurate and trustworthy within the financial domain.<br><br><strong>Problem Statement:</strong><br>General-purpose Large Language Models are ill-suited as-is for retail investment applications. They lack domain depth, struggle with regulatory nuance, and are computationally expensive to run at scale. Yet the need for AI-powered financial guidance at the retail level is real and growing.<br><br>How can a specialised Small Language Model (SLM) be designed — or an existing model adapted — to deliver investment-grade intelligence to retail users, addressing the accuracy and domain-specificity gaps of general LLMs while remaining computationally efficient enough for real-time deployment across modern investment platforms?<br><br><strong>Core Design Challenge:</strong><br>How can we build a specialised Small Language Model (SLM) that delivers investment-grade financial intelligence to retail investors — addressing the accuracy, efficiency, and domain-specificity limitations of general-purpose LLMs — while operating within the practical compute constraints of consumer investment platforms?<br><br><strong>Objective:</strong><br>Propose, design, and pitch a specialised SLM architecture tailored to retail investment use cases. The solution should demonstrate how a smaller, domain-focused model can outperform a general-purpose LLM in financial NLP tasks, operate within real-time deployment constraints, and maintain regulatory compliance — while remaining accessible and useful to retail investors without deep financial expertise.<br><br><strong>Evaluation Criteria:</strong><br>• Clarity and soundness of the proposed model architecture and training/fine-tuning approach<br>• Depth of financial domain understanding reflected in the design<br>• Strategies for reducing hallucination and ensuring output accuracy<br>• Handling of regulatory and compliance considerations<br>• Computational efficiency and feasibility for real-time platform deployment<br>• Quality and clarity of the pitch, including the team's ability to answer technical questions on the design",
solution: [
"Define the domain boundaries and knowledge requirements of a financial SLM suited to retail investor needs.",
"Design a training or fine-tuning strategy that improves domain accuracy without sacrificing fluency or usability.",
"Address hallucination risks specific to financial contexts where incorrect outputs can have direct financial consequences.",
"Ensure regulatory awareness, including appropriate handling of advice-adjacent language and disclaimers.",
"Optimise model architecture for real-time inference with low latency, suitable for integration into live platform environments.",
"Structure outputs so that responses are concise, contextually relevant, and actionable for non-expert retail users."
],
sdg: [
"SDG 8 - Decent Work & Economic Growth",
"SDG 9 - Industry, Innovation & Infrastructure",
"SDG 10 - Reduced Inequalities"
]
}
]
},
{
name: "Upcheck Technologies Private Limited",
code: "UPCHECK",
sector: "Aqua-Tech Solutions / IoT & Field Instrumentation",
category: "Hardware",
logo: "assets/industry_logos/upcheck.jpeg",
background: "assets/background/prowler_bg.jpg",
pdf: "assets/Upcheck and Marketview360 Industry Statement (1).pdf",
tagline: "IoT & Field Instrumentation Solutions",
problems: [
{
title: "Dependable Data Systems for Low-Connectivity Field Environments",
domain: "Embedded Systems & IoT", subdomain: "Offline-First Data Systems / Edge Computing", tag: "IoT / Edge Computing",
desc: "<strong>Background:</strong><br>A wide range of field operations from agriculture and aquaculture to environmental monitoring and rural healthcare depend on continuous data collection from remote sites. These sites often share a common challenge: network infrastructure that is either absent, intermittent, or unreliable. When data systems are designed with the assumption of stable connectivity, even a brief network outage can result in gaps in collected data, loss of time-sensitive readings, or delayed alerts that render monitoring systems ineffective.<br><br>As field instrumentation becomes more capable and sensors become cheaper to deploy, the bottleneck has shifted from data generation to data reliability — specifically, ensuring that useful data is never lost simply because a network was unavailable at the time of capture.<br><br><strong>Problem Statement:</strong><br>Field environments with limited, intermittent, or absent internet connectivity present a fundamental challenge for data-dependent systems: how do you ensure that critical sensor or operational data is captured accurately, preserved safely, and made available for decision-making without any guarantee of a continuous network connection?<br><br>Existing solutions often treat connectivity as a prerequisite rather than a variable. This assumption fails in real-world deployments where network availability can fluctuate unpredictably across hours, days, or longer. A robust system must be capable of operating independently during connectivity gaps and synchronising reliably when a connection becomes available, all without manual intervention.<br><br><strong>Objective:</strong><br>Design a hardware-software system that ensures critical field data is captured, stored locally, and synchronised reliably — operating autonomously across variable and unpredictable network conditions, with no data loss and no requirement for manual intervention during network disruptions or recovery.<br><br><strong>Evaluation Criteria:</strong><br>• Reliability of local data capture and storage under connectivity loss scenarios<br>• Effectiveness and correctness of the synchronisation strategy<br>• Fault tolerance: how the system handles edge cases such as partial uploads, storage limits, or power loss during sync<br>• Clarity and feasibility of the proposed architecture<br>• Scalability and generalisability of the solution across different field contexts",
solution: [
"Maintaining uninterrupted data capture and local storage when network connectivity is lost.",
"Designing efficient synchronisation mechanisms to transfer locally stored data when connectivity is restored.",
"Preventing data duplication, corruption, or loss during repeated connect-disconnect cycles.",
"Ensuring the system remains operational and autonomous without requiring manual resets or intervention.",
"Building in resilience against edge cases such as partial syncs, storage overflow, and power interruptions during sync."
],
sdg: [
"SDG 9 - Industry, Innovation and Infrastructure",
"SDG 2 - Zero Hunger (Agriculture/Aquaculture)",
"SDG 3 - Good Health and Well-Being (Rural Healthcare)"
]
},
{
title: "Energy-Efficient Sensor Network Design for Extended Field Deployments",
domain: "Embedded Systems & IoT", subdomain: "Energy Management / Low-Power Wireless Sensor Networks", tag: "IoT / Energy Management",
desc: "<strong>Background:</strong><br>Wireless sensor networks deployed in remote or off-grid field locations face an energy problem that grows more acute with every additional sensing node. Battery-operated sensors that transmit data frequently can exhaust their power reserves within days or weeks - far short of the months-long deployment cycles that practical field applications demand. While renewable energy sources such as solar panels offer partial relief, they introduce their own constraints: variable generation, storage limitations, and the overhead of energy management. The challenge is not simply reducing power consumption, but doing so in a way that preserves the usefulness and timeliness of the data being collected.<br><br><strong>Problem Statement:</strong><br>Sensor networks in field environments are constrained by limited and unreliable power availability. Continuous sensing and high-frequency data transmission are the primary energy consumers in such systems, yet reducing either can compromise data quality and system responsiveness. How can a sensor network be designed to maximise operational lifetime while retaining the ability to deliver timely, accurate data across a range of field conditions? The solution must go beyond simply reducing transmission frequency. It should incorporate intelligent strategies that allow the system to adapt its behaviour based on available energy, observed conditions, and operational priorities — functioning effectively even in environments where charging infrastructure is minimal or inconsistent.<br><br><strong>Objective:</strong><br>Design an energy-aware sensor node and network architecture that maximises operational lifespan under constrained power conditions. The system should dynamically adapt its sensing and communication behaviour to available energy, prioritising critical data collection while minimising unnecessary power draw — without relying on stable or continuous charging infrastructure.<br><br><strong>Evaluation Criteria:</strong><br>• Demonstrated reduction in energy consumption through architectural and protocol design choices<br>• Effectiveness of adaptive duty-cycling or event-driven sensing strategies<br>• Handling of energy variability (e.g., solar input fluctuations, battery depletion)<br>• Practical feasibility of the proposed hardware and communication stack<br>• Quality of data retained relative to energy saved — the solution should not sacrifice usefulness for efficiency",
solution: [
"Balancing the trade-off between sensing frequency, data resolution, and energy consumption.",
"Designing adaptive duty-cycling strategies that adjust system behaviour based on remaining energy reserves.",
"Selecting or proposing low-power communication protocols suited to constrained field environments.",
"Handling energy variability introduced by renewable sources such as solar or kinetic harvesters.",
"Maintaining system responsiveness for time-sensitive readings even under low-energy conditions."
],
sdg: [
"SDG 9 - Industry, Innovation and Infrastructure",
"SDG 2 - Zero Hunger (Agriculture/Aquaculture)",
"SDG 3 - Good Health and Well-Being (Rural Healthcare)"
]
}
]
},
{
name: "Softrate",
code: "SOFTRATE",
sector: "Software Solutions",
category: "Software",
logo: "assets/industry_logos/softrate.jpeg",
background: "assets/background/prowler_bg.jpg",
pdf: "assets/Industrial Problem Statements.pdf",
tagline: "Innovative Software for a Smarter World.",
problems: [
{
title: "Micro-SaaS CRM for Client Onboarding & Proposal Automation",
domain: "SaaS / CRM",
subdomain: "Business Automation",
tag: "Software",
desc: "Software service companies rely on scattered tools like spreadsheets, emails, and static documents to manage client acquisition and onboarding. This leads to inconsistent proposals, delayed response times (24–72 hours), poor collaboration between teams, and ultimately low conversion rates and weak client experience.",
solution: [
"Build a centralized micro-SaaS CRM platform for managing the entire client lifecycle (lead → onboarding).",
"Implement dynamic proposal generation using templates, pricing models, and service catalogs.",
"Integrate AI-based requirement analysis to auto-suggest solutions, timelines, and cost estimates.",
"Enable real-time collaboration between sales and technical teams within the platform.",
"Automate onboarding workflows including documentation, milestone creation, and communication tracking.",
"Provide dashboard analytics for pipeline visibility, deal tracking, and conversion optimization.",
"Ensure role-based access control for sales, managers, and technical teams."
],
sdg: ["SDG 8 – Decent Work & Economic Growth"]
},
{
title: "E-commerce SaaS Platform for Multi-Product Management & POS Integration",
domain: "E-commerce",
subdomain: "Retail Tech",
tag: "Software",
desc: "Retailers and multi-channel sellers struggle to manage inventory, orders, and sales across online platforms and physical stores due to disconnected systems. This results in inventory mismatches, manual updates, poor visibility, inefficient order handling, and unreliable decision-making.",
solution: [
"Develop a scalable SaaS platform for centralized product and inventory management across all sales channels.",
"Integrate POS systems to synchronize offline and online sales in real time.",
"Enable automated stock updates with alerts for low inventory and restocking needs.",
"Provide a unified dashboard for orders, returns, and overall sales analytics.",
"Implement multi-channel product listing and automatic updates across platforms.",
"Include role-based access for admins, store managers, and staff.",
"Add AI-driven insights for demand forecasting and sales optimization."
],
sdg: ["SDG 9 – Industry, Innovation & Infrastructure"]
}
]
}
/* ─── ADD MORE COMPANIES HERE ─── */
];
/* ═══════════════════════════════════════
STATE & DOM REFS
═══════════════════════════════════════ */
const ABSTRACT_PPT = 'assets/MAKEATHON%207.0%20ABSTRACT%20PPT%20TEMPLATE.pptx';
let activeIndex = 0;
const leftHeader = document.getElementById('track-left-header');
const leftList = document.getElementById('track-left-list');
const rightPanel = document.getElementById('track-right');
const modal = document.getElementById('ps-modal');
const modalBody = document.getElementById('ps-modal-body');
const modalClose = document.getElementById('ps-modal-close');
const modalOverlay = document.getElementById('ps-modal-overlay');
/* ═══════════════════════════════════════
BUILD LEFT PANEL
═══════════════════════════════════════ */
function buildLeft() {
leftHeader.innerHTML = `
<div class="track-left__track-name">
<span>TRACK</span>INDUSTRY
</div>
<div class="track-left__accent-bar"></div>
`;
leftList.innerHTML = COMPANIES.map((c, i) => `
<div class="track-thumb ${i === activeIndex ? 'is-active' : ''}"
data-index="${i}" role="button" tabindex="0" aria-label="${c.name}">
<div class="track-thumb__img-wrap">
<img class="track-thumb__img" src="${c.logo}" alt="${c.name}"
loading="lazy" onerror="this.style.opacity='0'" />
</div>
<div class="track-thumb__text">
<span class="track-thumb__code">${c.code}</span>
<span class="track-thumb__title">${c.name}</span>
</div>
</div>
`).join('');
leftList.querySelectorAll('.track-thumb').forEach(card => {
const select = () => selectCompany(+card.dataset.index);
card.addEventListener('click', select);
card.addEventListener('keydown', e => { if (e.key === 'Enter' || e.key === ' ') select(); });
});
}
/* ═══════════════════════════════════════
RENDER RIGHT PANEL
═══════════════════════════════════════ */
function selectCompany(idx) {
activeIndex = idx;
/* Scroll right panel to top when switching companies */
rightPanel.scrollTop = 0;
window.scrollTo(0, 0);
document.documentElement.scrollTop = 0;
document.body.scrollTop = 0;
leftList.querySelectorAll('.track-thumb').forEach((c, i) => c.classList.toggle('is-active', i === idx));
const co = COMPANIES[idx];
rightPanel.innerHTML = `
<!-- Hero -->
<div class="detail-hero">
<div class="detail-hero__bg" style="background-image:url('${co.background}')"></div>
<div class="detail-hero__overlay"></div>
<div class="detail-hero__dots"></div>
<!-- Prowler flip card — same position/size as Spider-Man variants -->
<div class="detail-hero__art-wrap flip-card" id="prowler-flip-card">
<div class="flip-card-inner">
<div class="flip-card-front">
<img class="detail-hero__art"
src="assets/variants/prowler.jpg"
alt="The Prowler"
onerror="this.style.display='none'" />
</div>
<div class="flip-card-back"
style="border-color:rgba(145,70,255,0.4); box-shadow:0 0 30px rgba(145,70,255,0.2);">
<div class="detail-hero__info-card"
style="border-color:var(--ind-accent); box-shadow:0 0 30px rgba(145,70,255,0.25);">
<span style="color:var(--ind-accent); font-family:'Anton',sans-serif;
letter-spacing:0.1em; font-size:0.75rem; text-transform:uppercase;
display:block; margin-bottom:10px;">Earth-42 Variant</span>
<strong style="color:#fff; font-family:'Anton',sans-serif;
font-size:1.6rem; text-transform:uppercase;
letter-spacing:0.05em; display:block;">THE PROWLER</strong>
</div>
</div>
</div>
</div>
<!-- Left text -->
<div class="detail-hero__text">
<span class="detail-hero__code">${co.sector} · ${co.category}</span>
<h1 class="detail-hero__name">${co.name}</h1>
<p class="detail-hero__tagline">${co.tagline}</p>
<div class="detail-hero__actions">
<a class="detail-hero__action detail-hero__action--download"
href="${ABSTRACT_PPT}" download>Download PPT Template</a>
<a class="detail-hero__action detail-hero__action--back"
href="index.html#problems">
<span class="detail-hero__action-arrow">←</span> Back to Tracks
</a>
</div>
</div>
</div>
<!-- Body -->
<div class="detail-body">
<div class="detail-problems">
<p class="detail-problems__heading">Problem Statements</p>
${co.pdf ? `
<div style="background: rgba(20, 15, 35, 0.4); border: 1px solid rgba(255, 255, 255, 0.06); border-radius: 4px; padding: 1.5rem; margin-bottom: 2rem;">
<p style="color: rgba(255, 255, 255, 0.8); font-size: 0.95rem; line-height: 1.5; margin-bottom: 1.2rem; font-family: var(--ff-body, sans-serif);">
Download the official document for the full requirements, evaluation context, and expected submission scope before you finalize your approach.
</p>
<a href="${co.pdf}" target="_blank" style="display: inline-flex; align-items: stretch; background: var(--ind-accent, #9146ff); text-decoration: none; position: relative; transition: transform 0.2s, box-shadow 0.2s; box-shadow: 6px 6px 0 rgba(45, 20, 75, 0.8);" onmouseover="this.style.transform='translate(-2px, -2px)'; this.style.boxShadow='8px 8px 0 rgba(45, 20, 75, 0.8)'" onmouseout="this.style.transform='translate(0, 0)'; this.style.boxShadow='6px 6px 0 rgba(45, 20, 75, 0.8)'">
<div style="display: flex; align-items: center; justify-content: center; padding: 0 1.2rem; border-right: 1px solid rgba(255,255,255,0.2);">
<span style="color: #fff; font-family: var(--ff-body, sans-serif); font-size: 1.3rem; font-weight: 300; letter-spacing: 0.05em;">PDF</span>
</div>
<div style="padding: 0.8rem 1.2rem; display: flex; flex-direction: column; justify-content: center;">
<span style="color: #fff; font-family: 'Anton', sans-serif; font-size: 1.1rem; letter-spacing: 0.05em; line-height: 1.2;">DOWNLOAD DETAILED PROBLEM STATEMENTS PDF</span>
<span style="color: rgba(255,255,255,0.8); font-family: var(--ff-body, sans-serif); font-size: 0.7rem; font-weight: 500; letter-spacing: 0.1em; text-transform: uppercase; margin-top: 2px;">OPEN FULL BRIEF</span>
</div>
</a>
</div>
` : ''}
<div class="problem-list" style="margin-bottom: 2.5rem;">
${co.problems.map((p, pi) => `
<div class="problem-skill" data-problem-index="${pi}">
<div class="problem-skill__icon">P${pi + 1}</div>
<div class="problem-skill__text">
<span class="problem-skill__id">IS${String(idx+1).padStart(2,'0')}${String(pi+1).padStart(2,'0')}</span>
<span class="problem-skill__name">${p.title}</span>
</div>
</div>
`).join('')}
</div>
<div id="rules" style="padding: 1.5rem; border: 1px solid rgba(255,255,255,0.2); background: rgba(0,0,0,0.4); border-radius: 8px; text-align: left;">
<h4 style="font-family:'Anton',sans-serif; color:#fcee0a; font-size:1.1rem; margin-bottom:0.8rem; letter-spacing:0.04em; text-transform:uppercase;">Rules and Regulations: Participation Guidelines</h4>
<div style="color: rgba(255,255,255,0.85); font-size: 0.9rem; line-height: 1.6;">
<strong style="color: var(--ind-accent); letter-spacing:0.03em;">Eligibility:</strong>
<ul style="list-style-type: disc; margin-left: 1.2rem; margin-bottom: 1rem;">
<li>Open to all undergraduate engineering students</li>
<li>Teams must be from the same college only (inter-college teams are not permitted)</li>
<li>Inter-department teams are allowed</li>
</ul>
<strong style="color: var(--ind-accent); letter-spacing:0.03em;">Team Composition:</strong>
<ul style="list-style-type: disc; margin-left: 1.2rem; margin-bottom: 1rem;">
<li>Minimum: 4 members</li>
<li>Maximum: 6 members</li>
</ul>
<strong style="color: var(--ind-accent); letter-spacing:0.03em;">Rules:</strong>
<ul style="list-style-type: disc; margin-left: 1.2rem; margin-bottom: 1rem;">
<li>Organizers will not provide any hardware components or software tools</li>
<li>PPT template must be followed strictly (no extra slides should be added)</li>
<li>The abstract must not exceed 10 slides</li>
<li>Upload your solutions in PDF format only</li>
<li>Only the team leader must fill the form on behalf of the team</li>
<li>Ensure that the Google Drive document you upload has Viewer/Open access enabled for all</li>
<li>This page and submission flow are only for Industry Problem Statement submissions</li>
<li>Industry PS and HW/SW PS submissions are evaluated independently</li>
<li>Your submission must clearly mention the Industry PS Number and Industry Provider Name</li>
<li>If you are switching from HW/SW to Industry PS, you must also mention your HW/SW PS Number in the Industry submission</li>
<li>Teams switching from HW/SW to Industry PS must complete the Industry submission by April 4, 2026; the earlier HW/SW submission will then be ignored</li>
<li>Teams submitting only for Industry PS must not submit the same team through the HW/SW form; conflicting submissions may lead to disqualification</li>
<li>Industry-track benefits such as internships, goodies, or prizes are not guaranteed and remain subject to industry evaluation; the industry partner's decision is final</li>
</ul>
<strong style="color: var(--ind-accent); letter-spacing:0.03em;">Queries:</strong>
<ul style="list-style-type: disc; margin-left: 1.2rem; margin-bottom: 0;">
<li>For further queries, please refer to the <a href="index.html#faq" style="color: var(--ind-accent);">FAQ</a> page</li>
</ul>
</div>
</div>