AI-Driven Road Accident Prediction System (Mar 2025): Developed a hybrid rule-based and ML (Random Forest) system with 85% accuracy, integrated 3 live APIs for real-time risk analysis, enabled hotspot visualization via geospatial heatmaps, and improved model accuracy by 15% through real-world feedback loops.

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This project proposes a **proactive, AI-driven Risk Prediction System** that forecasts the probability of **High-Severity** road accidents *before* they occur.

AI-Powered Accident Risk Prediction & Traffic Safety System AcciGuard is an AI-driven web application designed to analyze traffic, weather, and road condition data to predict accident-prone zones and provide actionable safety insights.