A multi-tasking AI-powered assistant with voice recognition and real-time AI responses. JARVIS AI Bot provides an interactive, intuitive, and efficient user experience for various tasks using advanced technologies like ReactJS, Bootstrap, and Python.
- Voice Assistance: Integrated voice recognition for hands-free interactions.
- AI Responses: Real-time AI-driven decision-making to handle complex tasks.
- 3D User Interface: Dynamic and visually appealing UI built using ReactJS.
- Task Automation: Streamlines repetitive tasks for increased productivity.
- ReactJS: For building the dynamic and responsive user interface.
- Bootstrap: For styling and responsive design.
- Python: Core language for AI functionality and backend logic.
- Voice recognition libraries for natural language processing.
- API integrations for real-time functionalities.
-
Clone the repository:
git clone https://github.com/Shubham31032003/JARVIS-AI-Bot.git
-
Navigate to the project directory:
cd JARVIS-AI-Bot
-
Install dependencies:
- For the frontend:
cd frontend npm install
- For the backend:
cd backend pip install -r requirements.txt
- For the frontend:
-
Run the application:
- Start the backend server:
python app.py
- Start the frontend:
npm start
- Start the backend server:
-
Open the application in your browser at
http://localhost:3000
.
- Launch the application.
- Interact with JARVIS using voice commands or the graphical interface.
- Perform tasks like fetching information, managing schedules, or controlling connected devices.
JARVIS-AI-Bot/
|├── frontend/ # ReactJS frontend code
|├── backend/ # Python backend code
|└── README.md # Project documentation
Contributions are welcome! To contribute:
- Fork the repository.
- Create a new branch for your feature or bug fix.
git checkout -b feature-name
- Commit your changes.
git commit -m "Description of changes"
- Push to the branch.
git push origin feature-name
- Create a Pull Request.
This project is licensed under the MIT License. See the LICENSE file for details.
- Thanks to the open-source community for their amazing tools and resources.
- Special thanks to all contributors and collaborators.