Optimizing AI-Driven Accident Detection System -- 2
Publicada el 2026-07-23
Descripción de la oferta
AI-Based Road Accident Detection System I have developed an AI-powered Road Accident Detection System that automatically detects road accidents in real time using CCTV or surveillance camera footage. The system uses a trained YOLOv8 deep learning model to identify accidents from live video streams and immediately generates alerts. The application includes a modern React frontend, a Node.js/Express backend, and a Flask-based AI service for inference. Accident records, images, and notifications are securely stored using MongoDB and Cloudinary. The system provides a dashboard where users can monitor detected accidents, view incident history, and manage alerts. Key Features Real-time accident detection using YOLOv8 Live CCTV/RTSP video stream support Automatic alert generation Dashboard for monitoring accidents Secure user authentication with JWT Cloud image storage using Cloudinary MongoDB database integration Responsive React-based user interface REST API architecture Deployable on cloud platforms such as Render and Vercel Technology Stack Frontend: React.js, Tailwind CSS Backend: Node.js, Express.js AI Service: Python, Flask, YOLOv8, OpenCV Database: MongoDB Atlas Storage: Cloudinary Authentication: JWT Version Control: Git & GitHub The project demonstrates practical implementation of Artificial Intelligence, Computer Vision, and Full-Stack Web Development to improve road safety by enabling faster accident detection and emergency response.
Skills
- React
- Node.js
- JavaScript
- Computer Vision
- Flask
- Angular
- Tailwind CSS
- REST APIs
- Express
- HTML
- UI/UX Design
- Deep Learning
- MongoDB
- Python
- Vercel
- Render
- GitHub
- CSS
- JWT
- Git
Fuente original: freelancer