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Ingests TLEs, propagates orbits, and serves real-time satillete details via a FastAPI backend on AWS Lambda + API Gateway, a Neon Postgres database, and a Next.js/React 3-D globe.\n\n---\n\n## Overview\n\nSentinel continuously fetches Two-Line Elements (TLEs), stores historical ephemerides, propagates state vectors (x, y, z, vx, vy, vz), and exposes a clean API and web UI to understand where thousands of objects are and where they’re headed.\n\n- Serverless backend on **AWS Lambda**\n- **Neon** (managed Postgres) for storage (SSL required)\n- **EventBridge** schedules for ingestion/propagation (cron without always-on servers)\n- **Next.js/React** front end (e.g., Vercel) with a **react-globe.gl / Three.js** visualization\n- Scales to **28k+ objects**; ~**2.7M state-vector epochs/day**\n\n---\n\n## Features\n\n- FastAPI API layer: latest vectors, per-object TLEs, and bulk orbit sampling\n- SGP4 propagation to compute ECI/ECEF positions and derived lat/lon/alt\n- Historical storage of objects, TLEs, and propagated state vectors in Postgres\n- Copy-paste curl examples and a minimal local dev story\n- Container-optional: run locally with Uvicorn, deploy serverless to Lambda\n\n---\n\n## Tech Stack\n\n- Backend: Python, FastAPI, SQLAlchemy, SGP4, Mangum (ASGI→Lambda)\n- Data: Neon (PostgreSQL)\n- Frontend: Next.js, React, TailwindCSS, react-globe.gl, Three.js\n- Cloud: AWS Lambda, EventBridge (schedules)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkrushna-b%2Fsentinel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkrushna-b%2Fsentinel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkrushna-b%2Fsentinel/lists"}