Revolutionizing Traffic Management: AI-Driven Micro:bit Integration for Real-Time Traffic Control

This project constitutes an educational initiative focused on the application of machine learning and programming within the classroom setting. Within this context, we faced the challenge of designing a system that simulates traffic congestion and responds to the gestures of a traffic guard through an AI-driven, micro:bit-based integrated system. The proposed system aims to alleviate real-world traffic congestion responding to the gestures of a traffic guard. The synchronization of traffic lights is orchestrated through Machine Learning (ML) algorithms. This solution targets easing congestion, particularly focusing on school areas representing a substantial leap forward in strategies for managing vehicle movements at critical junctions near educational institutions.