Chase the Cloud Challenge '26 (ISRO)

SkyMind AI is an AI-powered cloud motion prediction and weather intelligence platform built for the ISRO Chase the Cloud Challenge 2026. The system predicts future cloud movement using a modular AI nowcasting pipeline and provides an interactive mobile-first weather intelligence dashboard. Key Features • AI-powered cloud motion prediction pipeline • Multi-channel satellite image preprocessing pipeline • Diffusion model architecture with baseline forecasting models • Optical-flow assisted prediction pipeline • Real-time weather dashboard • Interactive radar and satellite visualization • AI Weather Assistant powered by Google Gemini with Groq fallback • Explainable AI (XAI) visualizations • Prediction confidence estimation • Automatic PDF, CSV and JSON report generation • REST API with OpenAPI documentation • Mobile-first Progressive Web App • Offline-ready architecture • Docker support • Comprehensive documentation Project Structure • Next.js + React frontend • FastAPI backend • Modular ML pipeline • Evaluation framework • Report generation engine • AI orchestration layer Evaluation The project includes automated evaluation using SSIM, PSNR, MAE, RMSE, IoU and additional computer vision metrics. Current Status The architecture, preprocessing pipeline, APIs, evaluation framework, reporting system and AI assistant are fully implemented. The project is designed to train directly on official INSAT/MOSDAC satellite imagery. Access to official MOSDAC datasets requires user credentials. The ingestion and training pipeline is included and documented, but demonstration training is currently limited by dataset access. Repository includes: • Complete source code • Documentation • Setup guide • Architecture diagrams • API documentation • Deployment instructions Thank you for reviewing SkyMind AI.