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This project uses OpenStreetMap data to analyze urban areas—primarily focusing on Indian cities —and evaluate their livability based on access to green spaces, transit stops, and essential services. It employs the A* algorithm to calculate realistic walking distances through the street network.
The code in this repository draws on results from the Global Healthy and Sustainable Cities Indicator Collaboration Study to generate policy 'scorecard' reports.
An ML-powered dashboard ranking 188 countries based on livability factors, integrating sentiment analysis from Reddit discussions. Provides real-time insights on healthcare, economy, and environment using GPT-based NLP, with an interactive Streamlit UI for policymakers.