The world is complex. Your intelligence shouldn't be.
Persistent oversight for Satellite Telemetry, Neural CV Analysis, and Multi-Spectral Fusion.

Neural Object Detection Real-time identification of maritime vessels, aircraft, and structural anomalies using optimized ResNet-50.	Multi-Spectral Fusion Seamless alignment of Optical, Thermal, and SAR data streams for all-weather intelligence.
Isolated Intelligence Zero external dependencies for core inference. Works in air-gapped environments with local DB persistence.	Tactical Glassmorphism A high-performance React dashboard designed for low-light command center environments.

Quick Start • Benchmarks • vs Competitors • Fusion • How It Works • Architecture • API

EarthMind works with any satellite data stream that speaks STAC, WSS, or REST. All intelligence shares the same neural core.

_{Works with any source that speaks STAC or HTTP. One server, intelligence shared across all views.}

You monitor the same sectors every day. You re-analyze the same anomalies. You re-verify the same telemetry signals. Built-in GIS tools cap out at static layers and go stale. EarthMind fixes this. It silently captures what the satellites see, compresses it into neural alerts, and injects the right context when the next mission starts. One command. Works across assets.

What changes: Session 1 you observe a coastal anomaly. Session 2 you request thermal validation. The system already knows your AOI uses Sentinel-2 optical data, your baseline was established on 04-20, and you flagged structural decay in Sector-7. No re-scanning. No re-explaining. The dashboard just knows.

python main.py --start-command-center

# Terminal 1: Initialize the Neural Engine
cd backend && python main.py --start-command-center

# Terminal 2: Launch the Tactical Dashboard
cd frontend && npm install && npm run dev

Open http://localhost:3000 to watch the intelligence feed build live in the Command Center.

graph TD
    subgraph "ORBITAL ASSETS"
        S1[Sentinel-2 Optical]
        S2[Capella SAR]
        S3[Landsat-9 Thermal]
    end

    subgraph "EARTHMIND NEURAL ENGINE"
        DP[Data Pipeline]
        NC[Neural Core / ResNet-50]
        LP[Local Persistence / SQLite]
        NC --> LP
    end

    subgraph "COMMAND CENTER"
        DB[Tactical Dashboard]
        AL[Anomaly Alerts]
    end

    S1 --> DP
    S2 --> DP
    S3 --> DP
    DP --> NC
    NC --> DB
    NC --> AL

Inspired by how neural networks process multi-band signals — not unlike episodic memory.

Operational Intelligence // Version 2.4.0
Built with tactical precision by Commanders at EarthMind
_{© 2026 EarthMind Intelligence Platform // Lead: Akshit40}