About ResQAI

ResQAI was inspired by the chaos of disaster response, where critical information is scattered across weather services, public datasets, news, and citizen reports. We built an AI-powered platform that turns this data into clear risk scores, maps, alerts, and recommended actions.

Built With

artificial-intelligence
data-visualization
disaster
emergency-response
fastapi
geospatial-mapping
gradient-boosting
leaflet.js
machine-learning
numpy
openstreetmap
pandas
python
random-forest
recharts
rest-api
risk-prediction
scikit-learn
sqlalchemy
sqlite
tailwind-css
typescript
vite

Submitted to

Global Innovation Build Challenge V2

Created by

I contributed to the design and development of ResQAI, an AI-powered disaster intelligence and emergency response platform. I worked on the frontend dashboard, interactive maps, risk visualization, incident reporting, alerts, analytics, and emergency resource features. I also helped integrate the React frontend with the FastAPI backend and machine-learning risk engine, tested the application, prepared the project documentation, and supported the final deployment and submission.

dharunraja VS
DEVADARSAN A
Gajavanan Ravikumar
Deepauk Deepauk M
DURGA P SNS
Dhinesh Suresh