Smart Traffic Management System using ML & Java

• Predicts traffic density (Low / Medium / High) using Machine Learning

• Uses FastAPI to provide real-time ML prediction through REST APIs

• Java module dynamically adjusts traffic signal timings based on predictions

• Implements adaptive signal control instead of fixed-time systems

• Demonstrates end-to-end integration: ML → API → Java control system

Future Improvements

• Web-based dashboard to monitor traffic density and signal status

• Real-time alert system for signal failures or abnormal delays

• SMS/Email notification to traffic authorities when signals malfunction

• Basic analytics view (daily congestion trends, peak hours)

• Manual override option for traffic operators