Note only Delhi NCR companies to bid. I am building a cross-platform system that streams environmental data from drones, on-site sensors, and satellite feeds, runs it through an AI agent, and presents the insights on a single, responsive dashboard for both desktop and mobile users. The AI layer must handle prediction and forecasting, anomaly detection, and pattern recognition so that decision-makers see exactly what is happening now, what has changed over time, and what needs immediate attention. Core flow Data arrives continuously from each device, is cleaned and stored, and then the AI agent processes it before pushing results to the front end. On the dashboard, I need real-time updates, clear historical trend views, and instant alert notifications whenever the models flag unusual readings. Deliverables • Robust ingestion API or gateway that accepts drone, sensor, and satellite streams • AI processing module covering prediction & forecasting, anomaly detection, pattern recognition (Python/TensorFlow or comparable) • Central database optimized for time-series environmental data • Web dashboard plus a mobile-ready interface (React, Flutter, or similar) displaying live metrics, history charts, and alert banners • Basic admin panel to manage data sources and threshold settings Acceptance criteria • End-to-end demo using sample drone/sensor/satellite data with live refresh ≤5 seconds • Accurate forecasts validated against provided historical datasets (R² ≥0.8) • Anomalies surfaced with precision ≥90 % on test set • UI renders flawlessly on modern browsers and iOS/Android devices • Clean codebase, documented setup scripts, and deployment guide (Docker/Kubernetes or equivalent) I am open to your recommended tech stack and workflow as long as the above capabilities and performance targets are met.