Winner of the Memphis City Hackathon 2025 in the Blight Data Analytics Category
https://blight-predictor.vercel.app/
This project is a comprehensive blight prediction system for Memphis, Tennessee. Using advanced data analytics and algorithms, we help city staff and community members prioritize properties for blight mitigation efforts.
- GitHub: Karti Bomb
- School: Rhodes College
- Major: Computer Science, Math, Economics
- Year: 2027
- GitHub: Jack Seigerman
- School: Rhodes College
- Major: Computer Science
- Year: 2026
- GitHub: Nima Aflaki
- School: University of Memphis
- Major: Biomedical Engineering
- Year: 2027
This project was created during the Memphis City Hackathon 2025.
- Interactive map visualization of blight risk areas
- Data-driven predictions using multiple data sources
- User-friendly interface for city staff and community members
- Comprehensive analytics and reporting
- React
- Mapbox GL JS
- Pandas, and NumPy
- 3 different data sources
- 30,604 data entries
- 4,853 properties analyzed
Empowering Memphis with advanced data analysis to prioritize properties for blight mitigation efforts, turning disconnected events into early warnings and actionable priorities.