PubliScore helps individuals make informed decisions about where to live by evaluating and scoring neighborhoods based on their public transportation accessibility.
Key Features
- Interactive Map Visualization with real-time location selection
- Accessibility Scoring System (0-10 scale) based on proximity to transport
- AI-Powered Recommendations using Gemini API
- Transport density heatmaps
- Isochrone visualization (5-60 minute travel ranges)
- Adjustable search radius for customized analysis
Technical Implementation
The backend is built with Flask and uses Pandas/NumPy for data processing. The frontend leverages Leaflet.js for interactive mapping with OpenStreetMap data integration. The scoring algorithm considers proximity to bus stops, tram stations, and Velo bike-sharing stations.
Hackathon Origin
Created during the Agentic Hackathon I focusing on urban planning accessibility analysis. The project demonstrates how AI can help solve real-world problems in urban mobility.