Real-Time Automated Traffic Violation & Speed Detection (YOLOv8)

Comprehensive, academic-grade Real-Time Automated Traffic Violation & Speed Detection (YOLOv8) implementation designed for final year engineering and degree submissions. Includes clean modular architecture, full documentation, setup guides, and viva voce defense preparation kit. ### System Overview Edge AI system detecting red-light running, triple riding on two-wheelers, helmetless driving, and automatic license plate extraction. ### Technical Stack Engineered using standard industry frameworks with robust database migrations and scalable RESTful endpoints. ### What's Included - Complete Source Code Package with installation guide - 80–120 Page IEEE Format Project Report (.docx) - 15–20 Slide Defense Presentation (.pptx) - 50+ Predicted External Viva Voce Q&A - Database SQL Dump & ER Diagrams