NYC Accident Hotspot Analysis & AI Policy Advisor

This project identifies accident hotspots in New York City using clustering techniques and provides targeted, data-driven policy recommendations for each hotspot using an AI assistant.

Features

• Clustering: Groups accident locations into spatial clusters (hotspots) using DBSCAN.
• Interactive Map: Visualizes hotspots on a web map with clickable markers.
• AI Policy Advisor: For each hotspot, summarizes key statistics and generates actionable, tailored policy recommendations using an LLM.
• Follow-up Q&A: Users can ask follow-up questions for deeper analysis.