m-bilal-ahmed/RescueMap-AI
Open-source platform for real-time geospatial data validation and disaster response coordination. Presented at FOSS4G NA 2025
When natural disasters strike, emergency responders are often overwhelmed by location-based reports from many sources, struggling to identify accurate and urgent information. RescueMap-AI helps by taking these diverse reports, validating them using simple machine learning, removing duplicates, and presenting a live, color-coded map showing verified high-priority areas. This platform is designed for emergency management teams, disaster relief organizations, and local government agencies to enhance situational awareness and make faster, more informed decisions during crises.
Use this if your emergency response team needs to quickly filter and visualize credible, real-time incident reports from multiple sources—even when internet connectivity is unreliable—to prioritize disaster relief efforts.
Not ideal if your primary need is for a general-purpose GIS system or a platform to manage long-term infrastructure projects rather than immediate disaster response coordination.
Stars
15
Forks
2
Language
TypeScript
License
—
Category
Last pushed
Mar 24, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/m-bilal-ahmed/RescueMap-AI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ODINN-SciML/MassBalanceMachine
Global machine learning glacier mass balance model, capable of assimilating all sources of...
ThomasMBury/deep-early-warnings-pnas
Repository to accompany the publication 'Deep learning for early warning signals of tipping...
thinkingmachines/unicef-ai4d-poverty-mapping
UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building...
RiccardoSpolaor/Flood-disaster-prediction
This project is developed in Python and it proposes the development of a Bayesan Network to...
CodeByPinar/Earthquake_Prediction_Analysis_Project
🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict...