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https://github.com/thanksduck/for-project


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# Dynamic Traffic Light Control System

## Project Overview

The Dynamic Traffic Light Control System (DTLCS) aims to revolutionize traffic management by implementing an AI-driven approach to optimize traffic light timings dynamically based on real-time traffic conditions. Traditional fixed-time traffic lights can be inefficient, leading to congestion and wasted time for commuters. By leveraging artificial intelligence, this system adapts traffic light timings in response to current traffic patterns, ultimately improving traffic flow and reducing congestion.

![Dynamic Traffic Light Control System Simulation](https://cdn.jsdelivr.net/gh/thanksduck/for-project@main/ai_traffic_system/images/dtlcs.png)

## Project Members

1. [Gursimar](https://github.com/gursimarsethi), URN - 2104223
2. Rohini, URN - 2104228
3. [Shivam Shukla](https://github.com/sivm99), URN - 2004663

## Project Guide

This project is supervised by Professor Kuljit Kaur, who has been providin with us valuable guidance and expertise throughout its development.

## Architecture

The Dynamic Traffic Light Control System is developed using Python 3.11 and follows industry best practices for software development.

### Libraries Used:

- `numpy` - For numerical computing
- `pandas` - For data manipulation and analysis
- `matplotlib` - For data visualization
- `scikit-learn` - For machine learning
- `pygame` - For Simulation
- `pickle` - For saving and loading models