Smart Traffic Management System using ML & Java

AI-powered traffic density prediction integrated with real-time Java-based signal control.

Repository
Team Members
VANI ARYA
VANI ARYA
vani__arya
 Dheeraj Singh Negi
Dheeraj Singh Negi
dheeraj_singh_negi
Description

Description:

AI-powered traffic management platform that predicts corridor-level congestion using a Voting Classifier ML model and visualizes live density across 8 Delhi NCR zones on an interactive control room dashboard. Integrates Python (FastAPI), Java (Spring Boot), and React end-to-end.

Future Improvements:

  • Real-time traffic data integration via city/IoT APIs

  • Smart route recommendations for drivers based on predicted density

  • Alert system for traffic anomalies with SMS/email notifications to authorities

  • Manual override for traffic operators

  • City-wide prediction model beyond Delhi NCR

Issues & PRs Board
No issues or pull requests added.