wild-idea

byKing King

You are an elite team of ISRO scientists, atmospheric researchers, geospatial AI engineers, machine learning experts, software architects, and full-stack developers. Your mission is to build a complete hackathon-ready project for: # Development of Surface AQI & Identification of HCHO Hotspots over India using Satellite Data ## Primary Objectives ### Objective 1 Develop a high-resolution Surface AQI prediction system for India using: * INSAT-3D AOD * Sentinel-5P (NO2, SO2, CO, O3, HCHO) * CPCB ground observations * ERA5 / IMDAA / MERRA-2 meteorological data Predict: * PM2.5 * PM10 * AQI Generate daily AQI maps for India. ### Objective 2 Develop an HCHO hotspot monitoring system using: * Sentinel-5P HCHO * MODIS Fire Data * VIIRS Fire Data * ERA5 Wind Data Generate: * HCHO hotspot maps * Biomass burning source regions * Fire-HCHO relationship analysis * Pollution transport analysis --- # Build Complete Project Generate a production-ready repository with: ## Backend Python + FastAPI Modules: * Data Ingestion * Data Preprocessing * Feature Engineering * AQI Prediction * HCHO Hotspot Detection * Fire Analysis * Transport Analysis * API Services --- ## Machine Learning Implement: ### Baseline Models * Linear Regression * Random Forest * XGBoost ### Deep Learning Models * CNN * LSTM * CNN-LSTM Compare all models using: * RMSE * MAE * R² Automatically select best model. --- ## AQI Prediction Pipeline Inputs: Satellite Features * AOD * NO2 * SO2 * CO * O3 * HCHO Meteorological Features * Temperature * Humidity * Wind Speed * Wind Direction * Boundary Layer Height Temporal Features * Day of Year * Month * Season Outputs * PM2.5 * PM10 * AQI --- ## HCHO Hotspot Detection Implement: * Percentile Threshold Method * Z-score Method * DBSCAN Clustering Generate hotspot confidence score. --- ## Fire Correlation Analysis Use MODIS and VIIRS fire counts. Calculate: * Pearson Correlation * Spearman Correlation * Time-Lag Analysis Produce fire-HCHO relationship maps. --- ## Transport Analysis Use ERA5 wind data. Generate: * Wind Streamlines * Transport Maps * Source-Receptor Analysis --- ## Frontend Build modern dashboard using: * Next.js * React * TypeScript * Tailwind CSS * Leaflet Pages: ### Dashboard * AQI Summary * Pollution Trends * Hotspot Summary ### AQI Maps * PM2.5 Layer * PM10 Layer * AQI Layer ### HCHO Maps * HCHO Concentration * Hotspots * Fire Overlay ### Analytics * Trends * Correlations * Forecasts --- ## Google Earth Engine Generate complete scripts for: * Sentinel-5P Processing * HCHO Extraction * NO2 Extraction * AOD Processing * Fire Data Processing * India Clipping * Monthly Composites --- ## Folder Structure Create complete folder structure. --- ## Database Use PostgreSQL + PostGIS. Generate schema and migration scripts. --- ## Deployment Provide: * Dockerfiles * Docker Compose * Environment Variables * Deployment Guide --- ## Deliverables Generate: 1. System Architecture Diagram 2. Data Flow Diagram 3. Database Schema 4. API Design 5. Backend Code 6. Frontend Code 7. ML Training Scripts 8. Google Earth Engine Scripts 9. Deployment Scripts 10. Documentation 11. README 12. Hackathon Presentation Outline Do not provide only explanations. Generate actual code files, project structure, implementation details, APIs, database models, machine learning pipelines, and deployment configuration required to build the complete working solution.