AI & Machine Learning
NEW RELEASE

AI-Powered Smart Traffic Management

A real-time traffic control system using deep learning to optimize signal timings.

Difficulty
Advanced
Duration
4 Weeks
Branch
AI
Investment
16,500
GET THIS PROJECT
AI-Powered Smart Traffic Management

Project Overview

This project uses computer vision and YOLO models to detect vehicle density at intersections, dynamically adjusting signal timing to reduce congestion. It features a complete dashboard for traffic officials to monitor real-time data and historical trends.

Key Features

Real-time density detection
Dynamic signal switching
Historical analytics dashboard
Mobile alerts for officials

Technology Stack

Python
TensorFlow
OpenCV
React

Technical Requirements

  • Python 3.8+
  • NVIDIA GPU (optional but recommended)
  • Basic understanding of CNNs

YOU MAY ALSO LIKE.

VIEW ALL PROJECTS
Engineering Project: AI Crop Disease Detection Platform
New Release
AI & Machine Learning

AI Crop Disease Detection Platform

Empowering farmers with instant plant disease diagnosis using mobile photography.

PythonKerasTensorFlow Lite
4,200
EXPLORE