walex4242/EagleEye-Nigeria

# 🦅 EagleEye-Nigeria ### Open-Source Satellite Intelligence for National Security **EagleEye-Nigeria** is an open-source initiative designed to provide **proactive** security monitoring across Nigeria using Satellite Intelligence (SATINT) and AI. While traditional security apps rely on human reports — which can be slow or dangerous to send — EagleEye-Nigeria looks from above. We use multi-spectral satellite imagery and thermal data to detect bandit encampments, forest clearings, and movement corridors in near real-time. --- ## 🚀 The Core Difference Most existing security tools in Nigeria are **reactive**. EagleEye-Nigeria is **proactive**: | Feature | Traditional Tools | EagleEye-Nigeria | |---|---|---| | Data source | Human reports | Satellite imagery | | Speed | Hours to days | Near real-time | | Civilian risk | High (informant exposure) | Zero | | Coverage | Urban-biased | Remote terrain capable | - **Thermal Anomaly Detection** — Uses NASA FIRMS to spot illegal campfires and heat signatures in remote forests. - **Vegetation Disturbance Analysis** — Uses Sentinel-2 to identify new, man-made clearings under dense canopy. - **Zero Human Risk** — Intelligence gathered from orbit removes the risk of informant retaliation against civilians. --- ## 🛠️ Technology Stack ### Data Sources | Source | Type | Use Case | |---|---|---| | NASA FIRMS | Thermal / Fire | Active fire & heat anomaly detection | | Sentinel-2 (ESA) | Optical / Infrared | Vegetation change & clearing detection | | ACLED | Conflict Data | Ground-truth event correlation | ### Backend & Geospatial - **Runtime:** Python 3.10+ - **API Framework:** FastAPI - **Geospatial:** Google Earth Engine (GEE), GeoPandas, Shapely - **Visualisation:** Leaflet.js ### AI / ML - **Framework:** PyTorch - **Computer Vision:** OpenCV - **Tasks:** Automated camp detection, change detection, anomaly classification --- ## 🗺️ Project Roadmap ### Phase 1 — The "Heat" Map *(Months 1–2)* - [ ] Integrate NASA …