Sol - The Sentient Watcher

Sol is a comprehensive AI surveillance system designed to monitor, analyze, and respond to various environmental and scientific anomalies. It utilizes advanced machine learning models and real-time data processing to ensure safety and awareness in its operational environment.

Features

• Consciousness Module: Manages Sol's alertness and confidence based on environmental inputs.
• Policy Module: Uses Q-learning for decision-making and action execution.
• Surveillance Capabilities: Integrates YOLO for object detection and DeepSort for object tracking.
• Scientific Analysis: Employs custom-trained models for physics, chemistry, environmental, and space anomaly detection.
• Speech and Audio Processing: Uses pyttsx3 for text-to-speech and YAMNet for audio anomaly detection.
• Event Logging and Reflection: Logs events and generates thoughtful responses using GPT-2.

Installation

To get started with Sol, follow these steps:

1. Clone the Repository

   git clone https://github.com/SuperCaleb/Sol.git
   cd Sol

2. Install Dependencies Ensure you have Python 3.7 or higher installed. Then, install required packages:

   pip install -r requirements.txt

3. Download Pre-trained Models Download the necessary pre-trained models and place them in the appropriate directories:

   # Example for YOLO
   wget -P models/ https://path/to/yolov8l.pt

4. Configure API Keys Some functionalities, like weather data fetching, require API keys. Update the code with your API keys where necessary.

Usage

To start Sol's surveillance system, run the following command:

python sol.py

Command Line Interface

While Sol is running, you can input commands directly into the terminal to interact with Sol:

• status: Get the current status of Sol's alertness and confidence.
• explain_last_detection: Get details about the last detected event.
• quit: Terminate the surveillance system.

How Sol Works

1. Initialization: Sol initiates various modules and sets up the surveillance system.
2. Surveillance Loop: Continuously captures video frames, detects and tracks objects, and processes audio input.
3. Anomaly Detection: Utilizes scientific models to detect anomalies in physics, chemistry, environment, and space.
4. Decision Making: Based on detected anomalies and its internal state, Sol decides on actions to take, such as increasing sensitivity or sending alerts.
5. Event Logging and Reflection: Logs events and generates thoughtful reflections on significant occurrences.

Contributing

We welcome contributions to enhance Sol's capabilities. Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or issues, please open an issue on GitHub or contact me at [email protected]

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By leveraging state-of-the-art AI technologies, Sol aims to provide a safer and more aware environment through intelligent surveillance and scientific analysis.