The Jarvis Project is an advanced voice-activated assistant that leverages a suite of AI technologies, including speech-to-text and text-to-speech, backed by the power of ChatGPT. It features a scalable Django backend and a responsive React frontend, with data management handled by MySQL and Redis for persistent storage and efficient data access. Designed with scalability and extensibility in mind, Jarvis operates within a Dockerized environment, facilitating easy setup and deployment. This project stands out by integrating extensive AI agents, each equipped with multiple APIs to offer a wide range of functionalities and services, providing a solid foundation for future enhancements and integrations.

• Voice-activated interaction with extensive AI agent support
• Integration with ChatGPT and other AI APIs for intelligent processing
• Scalable and extensible architecture ready for future growth
• Django backend for robust application management
• Reactive React frontend for an interactive user experience
• MySQL Server for persistent storage solutions
• Redis database for fast data retrieval and caching
• Docker containerization for simplified setup and scalability

Before starting, ensure you have Docker installed on your system. Docker is essential for running the application containers. You can download and install Docker from https://www.docker.com/get-started.

1. Clone the Repository

   Clone the repository to your local machine to get started:

   git clone https://github.com/Googly-Boogly/Jarvis

2. Configure the Application

   In the cloned repository, modify the docker-compose.yml file by replacing <changeme> paths with your specific paths. Then, populate the config.yaml file with your API keys to activate all features.

3. Launch the Application

   From the root of your project directory, execute the following command in the terminal to start all required Docker containers:

   docker-compose up

   This command builds and initiates the Jarvis Project containers.

4. Access the Interface

   With the application running, access the Jarvis web interface by visiting http://localhost:8080 in your browser.

Interact with the Jarvis assistant through the web interface. It can understand voice commands and questions, responding through its AI agents' capabilities. The system's design allows for the easy addition of new AI agents and APIs, ensuring Jarvis remains at the forefront of AI assistant technology.

For a list of commands, detailed functionalities, and more information, please see the User Guide (Link to detailed documentation).

Contributions are welcome! If you have ideas for new features, improvements, or have encountered any issues, please submit an issue or a pull request.

This project is licensed under the MIT License.

Thank you to all contributors, users, and the broader community for supporting the Jarvis Project. Your feedback and contributions help drive the project forward.