Driver Monitoring System

Fleet operators struggle to monitor unsafe driving behaviors across large vehicle fleets. Manual supervision is inefficient, incidents are often discovered too late, and safety decisions lack real-time evidence and actionable insights.

Developed a complete AI-powered Driver Monitoring System combining real-time Computer Vision, GPS safety monitoring, intelligent alerts, fleet management, analytics, and an AI assistant. The system continuously analyzes driver behavior, detects safety violations, stores visual evidence, tracks trips, and provides fleet managers with real-time operational insights through a secure web platform. The accompanying landing page serves as a visual introduction to the system, explaining its architecture, capabilities, AI features, and internal workflow rather than representing the system itself.

Delivered an integrated AI-driven fleet safety system capable of monitoring drivers in real time, detecting multiple safety violations simultaneously, generating automated alerts, maintaining evidence and audit trails, and providing natural-language access to fleet data through an intelligent RAG-powered assistant. The landing page was created as a presentation layer to clearly communicate how the internal system works and what problems it solves.