V-Rides - College Bicycle Rental System

A modern web-based bicycle rental system designed specifically for college campuses. V-Rides provides students and staff with an easy, affordable, and convenient way to rent bicycles using QR code technology.

🚴‍♂️ About the Project

V-Rides is a comprehensive college cycle rental system that offers flexible rental duration, multiple payment options, bicycle health monitoring, user profiles, pre-booking capabilities, and support for multiple bicycle bookings. The system uses QR code-based locking and unlocking to ensure security and ease of use.

✨ Key Features

• 🔒 QR Code Integration: Secure locking and unlocking system
• ⏰ Flexible Rental Duration: Rent bicycles for any duration you need
• 💰 Real-time Fare Calculator: Calculate rental costs before booking
• 👤 User Profiles: Manage your rental history and preferences
• 📅 Pre-booking System: Reserve bicycles in advance
• 🚲 Multiple Bicycle Support: Book multiple bicycles for groups
• 🔧 Bicycle Health Monitoring: Track the condition and maintenance status
• 📱 Responsive Design: Works seamlessly on all devices
• 🎨 User-friendly Interface: Clean and intuitive design
• 📊 Analytics Dashboard: Comprehensive data visualization for administrators

💰 Pricing

• First 15 minutes: ₹10 (base fare)
• Additional time: ₹1 per minute after the first 15 minutes

📁 Project Structure

V-Rides/
├── index.html                    # Main landing page
├── login.php                     # User authentication
├── signup.php                    # User registration
├── user_dashboard.php            # User control panel
├── dev_dashboard.php             # Developer/Admin dashboard
├── cycle_ride.php                # Cycle selection and ride initiation
├── ongoing_ride.php              # Active ride monitoring
├── ride_completed.php            # Ride completion and payment
├── previous_rides.php            # Ride history
├── wallet.php                    # Digital wallet management
├── user_queries.php              # User support queries
├── handle_query.php              # Admin query management
├── cycle_info.php                # Cycle information and analytics
├── cycle_maintenance.php         # Maintenance management
├── user_info.php                 # User analytics and management
├── user_authentication.php       # QR code authentication
├── predictHealth.py              # ML model for cycle health prediction
├── cycleReviewTraining.ipynb     # Machine learning training notebook
├── submit_feedback.php           # Feedback submission handler
├── logout.php                    # Session termination
├── css/
│   ├── index.css                 # Main landing page styles
│   ├── login.css                 # Login page styles
│   ├── signup.css                # Registration page styles
│   ├── user_dashboard.css        # User dashboard styles
│   ├── dev_dashboard.css         # Developer dashboard styles
│   ├── cycle_ride.css            # Cycle selection styles
│   ├── ongoing_ride.css          # Active ride styles
│   ├── ride_completed.css        # Ride completion styles
│   ├── previous_rides.css        # Ride history styles
│   ├── wallet.css                # Wallet interface styles
│   ├── user_queries.css          # Query management styles
│   ├── handle_query.css          # Admin query styles
│   ├── cycle_info.css            # Cycle analytics styles
│   ├── user_info.css             # User management styles
│   └── ride_info.css             # Ride information styles
├── assets/
│   ├── bg_index.png              # Background image
│   ├── logo_index.png            # Main logo
│   ├── index_feature.png         # Features section image
│   ├── V-Rides.png               # About section logo
│   └── circle.png                # User avatar placeholder
└── Documentation/
    ├── trained_model.joblib       # Trained ML model
    └── cycleReview.csv           # Training data

🖼️ Application Screenshots

🏠 Landing Page

💰 Pricing Calculator

🔐 Authentication System

Login Page

Sign Up Page

🚴‍♂️ Ride Experience

QR Code for Cycle Access

Scan this QR code to unlock and access the cycle

Cycle Selection & Start Ride

Scan QR code to unlock cycle, then click "Start Ride" to begin

Ongoing Ride Monitoring

Ride Completion Summary

View ride summary and logout after completion

👤 User Dashboard

🛠️ Administrative Features

Developer Dashboard

Cycle Monitoring & Analytics

User Analytics

🛠️ Technologies Used

Frontend

• HTML5 - Structure and semantics
• CSS3 - Styling and responsive design
• JavaScript - Interactive functionality
• Font Awesome - Icons and visual elements
• AOS Library - Scroll animations
• Chart.js - Data visualization

Backend

• PHP - Server-side logic and database operations
• MySQL - Database management
• Python - Machine learning for cycle health prediction
• scikit-learn - ML model training and prediction

Design & UI/UX

• Google Fonts (Poppins) - Typography
• Custom CSS - Responsive design framework
• Bootstrap components - UI components

🤖 Machine Learning Features

The system includes an intelligent cycle health prediction model:

• Training Data: Documentation/cycleReview.csv
• Model: Random Forest Classifier
• Features: Break function, pedaling smoothness, tire condition, gear shifting, frame stability
• Output: Health score predictions for maintenance scheduling

📱 Responsive Design

Fully optimized for:

• 🖥️ Desktop computers (1920px+)
• 💻 Laptops (1024px - 1920px)
• 📱 Tablets (768px - 1024px)
• 📱 Mobile devices (320px - 768px)

👨‍💻 Developer

Shubh Gupta

• 🎓 Project Developer and Designer
• 📧 Contact: shubhorai12@gmail.com
• 💼 LinkedIn: https://linkedin.com/in/ishubhgupta
• 🐙 GitHub: https://github.com/ishubhgupta

📞 Support

For support and queries:

• 📧 Email: shubhorai12@gmail.com
• 🐛 Issues: Create an issue in this repository
• 💬 Feedback: Use the in-app feedback form

🙏 Acknowledgments

• Font Awesome for comprehensive icon library
• Google Fonts for beautiful typography
• AOS Library for smooth scroll animations
• Chart.js for data visualization capabilities
• scikit-learn for machine learning framework
• All beta testers and contributors for valuable feedback

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Made with ❤️ by Shubh Gupta

Empowering sustainable campus transportation through technology