README.md

metadata

title: ShrishtiAI Backend
emoji: 🛰️
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false

ShrishtiAI

Turning satellite data into useful insights.

ShrishtiAI is a multi-platform geospatial intelligence project that combines remote sensing, weather data, and AI-driven risk analysis to support disaster awareness, planning, and faster decisions.

What Is In This Workspace

• backend/ - API and ML serving layer (Flask + services/controllers/models) powering prediction and analytics endpoints.
• web/ - Vite + React web dashboard for map-based exploration, HazardGuard predictions, WeatherWise forecasts, and user workflows.
• mobile/ - Expo React Native mobile app for location-driven weather, alerts, maps, and user settings.
• models/ - Trained model assets and model families for GeoVision, HazardGuard, and WeatherWise pipelines.

Core Capabilities

• Satellite intelligence and geospatial feature extraction
• Disaster risk prediction and hazard classification
• Weather-aware forecasting and decision support
• Interactive map experiences across web and mobile

Project Direction

ShrishtiAI is focused on making earth observation practical: from raw satellite layers to actionable, real-world insights for climate and disaster use cases.