🚦 Smart_Light_AI

🧠 AI-Based Smart Traffic Management System

Smart_Light_AI is an intelligent traffic management system that uses YOLOv8 vehicle detection and adaptive signal control to optimize traffic flow in real-time. The system also prioritizes emergency vehicles to reduce response time and improve urban mobility efficiency.

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🔥 Key Features

• 🚗 Real-time vehicle detection using YOLOv8
• 🚦 Adaptive traffic signal timing based on vehicle density
• 🚑 Emergency vehicle priority system
• 📊 Admin Dashboard for traffic monitoring and control
• 🌐 Public Dashboard for live traffic visualization
• ⚡ FastAPI backend for API services
• ⚛️ React-based frontend (Admin + Public UI)

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🛠️ Tech Stack

Backend

• Python
• FastAPI
• Uvicorn
• YOLOv8
• OpenCV

Frontend

• React.js
• JavaScript
• HTML/CSS

Deployment

• Render (Backend)
• Vercel (Frontend)

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📂 Project Structure

Smart_Light_AI/
│
├── backend/              # FastAPI backend & AI logic
├── smartlight-ui/        # Admin dashboard
├── smartlight-public/    # Public dashboard
├── images/               # Project assets
├── videos/               # Simulation videos
├── models/               # YOLO model files
├── requirements.txt      # Python dependencies
├── runtime.txt           # Python version
└── simulation.py         # Traffic simulation logic

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🚀 How to Run Locally

1️⃣ Clone the repository

git clone https://github.com/YOUR_USERNAME/Smart_Light_AI.git
cd Smart_Light_AI

2️⃣ Create Virtual Environment (Optional but Recommended)

python -m venv venv
venv\\Scripts\\activate   # Windows

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run Backend Server

uvicorn backend.app.main:app --reload

Server will start at:

http://127.0.0.1:8000

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📊 System Overview

Smart_Light_AI dynamically adjusts traffic signals based on real-time vehicle detection using computer vision. It helps:

• Reduce traffic congestion
• Improve emergency response time
• Optimize traffic signal efficiency
• Enable smarter urban traffic management

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🎓 Project Purpose

This project is developed as a final-year AI-based smart city solution aimed at improving traffic flow using intelligent automation and real-time vehicle detection.

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📌 Future Improvements

• Cloud-based real-time camera integration
• AI-based traffic prediction
• Multi-intersection coordination
• Analytics dashboard with historical insights

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