FATHIMATH NEHALA T (STM21CS030)
GOPIKA JAYAN (STM21CS032)
NAJWA (STM21CS042)
SNEHA K K (STM21CS061)

The rise in urbanization and vehicle ownership has intensified parking challenges, resulting in traffic congestion, resource wastage, and security concerns. Existing parking systems lack real-time updates, seamless booking integration, and advanced security
features, leading to inefficiencies and user dissatisfaction. This paper proposes a Parking Spot Allocation System utilizing YOLOv3 for real-time vehicle detection and parking lot monitoring.The system integrates advanced video analytics, dynamic occupancy
updates, and a user-friendly booking platform to optimize parking operations.Key features include theft detection modules, geolocation-based recommendations, review-based spot suggestions, and license plate recognition to cross-match with registered vehicles,
notifying security of unauthorized entries. By leveraging YOLOv3’s accuracy and speed, the system supports intelligent parking management, aligns with smart city objectives, and promotes sustainable urban mobility.