بصيرة | Baseerah AI

Smart City Digital Twin Platform Powered by Artificial Intelligence

A smart city platform designed to monitor, analyze, and visualize urban operational indicators in real time using Artificial Intelligence, Live Analytics, and Digital Twin technologies.

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Overview

Baseerah AI is an intelligent smart-city management platform developed as a Computer Science graduation project.

The system acts as a Digital Twin for cities by collecting, visualizing, and analyzing operational indicators such as:

• Air Quality
• Traffic Flow
• Energy Consumption
• Water Usage
• Public Safety
• Live Operational Events

The platform provides decision-makers with a unified dashboard and AI-powered recommendations for improved city management.

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Key Features

Smart City Digital Twin

Monitor city-wide operational indicators through a centralized control center.

Real-Time Monitoring

Live updates using Socket.IO technology.

AI Assistant

Baseerah AI Copilot provides intelligent operational recommendations.

Live Analytics

Interactive visualizations and real-time trend analysis.

Alerts & Notifications

Instant alerts for abnormal operational conditions.

City Health Score

Overall performance scoring for monitored regions.

Multi-Region Management

Manage cities, districts, and monitored zones.

Mobile Application

Cross-platform mobile application built using React Native and Expo.

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System Screenshots

Project Identity

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Secure Login System

Role-based authentication system for accessing the platform.

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Smart City Dashboard

Real-time city monitoring and operational analytics.

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City & Region Management

Manage operational zones and monitored regions.

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Live Analytics

Interactive charts and operational trend visualization.

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System Administration

Monitor infrastructure, database connectivity, and system health.

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Mobile Application

Mobile Dashboard

Monitor city indicators directly from mobile devices.

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Baseerah AI Copilot

AI-powered assistant capable of analyzing operational indicators and generating recommendations.

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Technology Stack

Frontend

• React.js
• Vite
• Tailwind CSS
• Recharts

Backend

• Node.js
• Express.js
• Socket.IO

Database

• PostgreSQL

Mobile

• React Native
• Expo

Development Tools

• Git
• GitHub
• VS Code
• pgAdmin

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Architecture

Mobile App
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 React Frontend
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 Express Backend
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 PostgreSQL Database
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 AI Analysis Engine

Future Enhancements

• AI Predictive Analytics
• Traffic Forecasting
• Water Consumption Forecasting
• Energy Optimization
• Smart Alerts Engine
• IoT Sensor Integration
• Vision 2030 Smart City Expansion
• Cloud Deployment

Project Objectives

• Build a Digital Twin for smart city monitoring.
• Improve operational decision-making.
• Integrate Artificial Intelligence into city management.
• Provide real-time analytics and alerts.
• Support future smart-city initiatives.

Author

Khalid Yahya AlFudhayl

Computer Science Student
King Khalid University

Graduation Project (2026–2027)

GitHub: https://github.com/Khalid-AlFudhayl

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Baseerah AI

See the city. Understand the city. Improve the city.