See scaffold for instructions.
┌───────────────────────────────┐
│ Local Camera / Remote Devices │
│ (Camera, Drone, Satellite, │
│ IoT Sensors) │
└─────────────┬─────────────────┘
│ Capture frames / sensor data
▼
┌───────────────────────────────┐
│ Low-Light / Flashlight / IR │
│ frame_brightness() │
│ turn_on_flashlight() │
└─────────────┬─────────────────┘
▼
┌───────────────────────────────┐
│ Detection Modules │
│ ├ Object Detection │
│ │ YOLOv8 / Detectron2 │
│ ├ Anomaly Detection │
│ │ Autoencoder / GAN │
│ ├ Resource Detection │
│ │ UNet / DeepLabV3 │
│ └ Disaster Detection │
│ CNN / LSTM │
└─────────────┬─────────────────┘
▼
┌───────────────────────────────┐
│ Quantum Simulation │
│ quantum_future_decision() │
│ Probabilistic branching │
└─────────────┬─────────────────┘
▼
┌───────────────────────────────┐
│ Teleportation / Distributed AI│
│ simulate_teleport() │
│ Share decisions across devices│
└─────────────┬─────────────────┘
▼
┌───────────────────────────────┐
│ Aura Orchestrator │
│ send_to_aura() │
│ - Receives events │
│ - Triggers IoT actions │
│ - Stores history │
└─────────────┬─────────────────┘
│
┌───────┴─────────┐
▼ ▼
┌───────────────┐ ┌───────────────┐
│ MQTT / IoT │ │ Time-Travel │
│ Actions │ │ Replay & │
│ Lights, Alarms│ │ Alternative │
└───────────────┘ │ Scenarios │
│ replay_past_events() │
└───────────────┘
/cfml/
├── Application.cfc
├── index.cfm
├── components/
│ ├── detectors/
│ ├── orchestrator.cfc
│ ├── quantum_sim.cfc
│ ├── aura.cfc
│ └── mqtt_handler.cfc
├── api/
│ ├── routes.cfm
│ ├── ai_handler.cfm
│ └── data_gateway.cfm
├── utils/
│ ├── db.cfc
│ ├── json.cfc
│ └── env.cfc

The page shows a scaffold / architecture sketch. Key components:
• Local camera / remote devices (cameras, drones, satellites, IoT sensors) capturing frames & sensor data 
• Preprocessing in low light / brightness adjustment & activating flash / IR 
• Detection modules: object detection (YOLOv8 / Detectron2), anomaly detection (autoencoder / GAN), resource detection (UNet / DeepLabV3), disaster detection (CNN / LSTM) 
• Quantum simulation module: probabilistic branching, “quantum_future_decision()” 
• Teleportation / distributed AI (simulate_teleport) – share decisions across devices 
• Aura Orchestrator: receives events, triggers IoT actions, stores history 
• Integration via MQTT / IoT actions, time-travel / replay of past events, alternative scenarios 
⸻
Exploration, Discovery & Quantum AI — the AI platform for pushing the frontiers of science.
EDQ‑AI, developed by Web4application, is a next-generation AI framework designed to empower researchers, engineers, and visionaries to explore the unimaginable. From quantum physics simulations to gravitational satellite analytics, EDQ‑AI enables breakthroughs once thought impossible.
| Feature | Description |
|---|---|
| 🔬 Scientific Discovery | Automate hypothesis generation, experimental analysis, and data-driven model building. |
| ⚛️ Quantum Physics Integration | Simulate quantum systems and optimize experiments for quantum computing applications. |
| 🌍 Gravity & Satellite Systems | Analyze gravitational fields, process satellite telemetry, and model orbital dynamics. |
| 🪐 Beyond-Dimension Exploration | Conceptualize extra-dimensional physics, teleportation dynamics, and advanced theoretical frameworks. |
| ⏳ Temporal Analysis | Advanced time-series modeling and frameworks for speculative time-travel research. |
| 💡 Modular & Extensible | Easily plug in new modules for sensors, detection, quantum simulations, or AI-driven analytics. |
EDQ-AI/ ├── core/ # Core logic and algorithms ├── data/ # Data ingestion and preprocessing ├── detection_modules/ # Pattern and anomaly detection ├── lib/services/ # Auxiliary services and utilities ├── models/ # Machine learning or quantum-inspired models ├── mqtt_sim/ # MQTT simulation modules for IoT/sensors ├── routes/ # API routes and endpoints ├── sensors/ # Sensor data collection or simulation ├── test/ # Unit and integration tests └── utils/ # Helper scripts and utilities
# Clone the repository
git clone https://github.com/Web4application/EDQ-AI.git
cd EDQ-AI
# Install dependencies
pip install -r requirements.txt # Python backend modules
npm install # JS/Node modules
# Run the main framework
python main.py # or your specific entry point
⸻
🌌 EDQ‑AI in Action
• Core AI Engine
• Quantum & Temporal Simulation Modules
• Gravity & Satellite Data Analysis
• Sensor & Detection Integration
⸻
📜 License
MIT License — free to use, modify, and extend.
⸻
🤝 Contributing
We welcome contributors from all fields — AI, physics, quantum computing, space science, and theoretical research. Join us in building the AI of the future.
⸻
🔗 Links
• GitHub: EDQ‑AI
• Web4application: https://web4application.github.io/
• Documentation: Docs Folder
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### 🔹 Key Enhancements in This Version:
1. **Visual appeal:** Banner and architecture diagram placeholders (you can replace with real images).
2. **Badges:** Python version, license, GitHub stars/issues to make the repo “alive.”
3. **Tables:** Clear feature matrix for readability.
4. **Action-oriented diagrams:** Show modules, sensors, quantum & temporal simulations.
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