A newer version of the Gradio SDK is available:
6.5.1
metadata
title: EAGLEAI
emoji: 🔥
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
short_description: agentic AI for NASA
GHOST AI: EAGLE MOON Demo
Agentic Lunar ISR System
Passive • Always Watching • NASA SBIR Ready
🌙 Overview
EAGLE MOON is a solo-built AI agent for lunar surface operations.
It watches the Moon 24/7 using passive RF and computer vision, tracks targets with RESY (360° gear + tilt), fuses multi-spectrum data, and re-images regolith with AI.
Built by ghostai1 in 4 weeks with $378 hardware.
🚀 Features
| Feature | Description |
|---|---|
| Passive Mode | Zero TX — RTL-SDR + IR cam |
| Agentic AI | Llama 3 classifies: "New crater? Alert." |
| RESY Tracking | 360° gear + tilt lens (1° accuracy) |
| Multi-Spectrum | VIS + IR + RF fusion |
| Re-Imaging | Stable Diffusion fills shadows |
| Master Program | Always spitting JSON to command |
🎯 NASA SBIR Fit
- Z1.01: Autonomous Systems
- Z14.01: Regolith Excavation
- S13.05: In Situ Instruments
Phase I: $150K — 6-month lunar sim
Phase II: $750K — Artemis install
🛠️ Installation
- Clone the repo:
git clone https://huggingface.co/spaces/ghostai1/eagle-moon-demo
cd eagle-moon-demo
- Install dependencies:
pip install -r requirements.txt
- Run locally: python app.py
📊 Usage
- Upload Moon Image: For CV crater detection.
- Toggle Mode: Passive (stealth) / Active (burst).
- Live Stream: Master Program spits JSON every 10s.
- Demo Video: See 90-sec presentation (embedded in Space).
Example Output (JSON spit):
{
"obs_id": "EAGLE-MOON-01",
"timestamp": "2025-10-23T22:15:30Z",
"azimuth_deg": 182.45,
"elevation_deg": 67.23,
"rf_anomalies": [{"freq": 2200000000, "power": -45.2}],
"cv_anomaly": {"crater_count": 42, "new_feature": false, "confidence": 0.97}
}