Project Jarvis 🎯

Welcome to Project Jarvis, your advanced AI assistant designed to simplify tasks and boost productivity. Whether you're a professional, student, or someone looking to streamline daily routines, Jarvis is here to assist every step of the way.

Overview 🚀

Jarvis is more than just another virtual assistant; it’s a comprehensive solution packed with powerful features. Combining voice recognition, web scraping, and machine learning into a user-friendly interface, Jarvis makes complex tasks effortless.

Getting Started 🔧

Follow these steps to set up Jarvis on your system:

1. Clone the Repository: Start by cloning the Jarvis repository to your local machine.

   git clone https://github.com/Likhithsai2580/JARVIS.git
   cd JARVIS

2. Install Dependencies: Ensure Python is installed on your system. Then, install the required dependencies listed in requirements.txt.

   pip install -r requirements.txt

3. Configure APIs: Enhance Jarvis's capabilities by configuring APIs in the config.json file.

4. Setup NLTK: Install NLTK data needed for text processing tasks.

   import nltk
   nltk.download('punkt')

Features ✨

Jarvis offers a wide range of features:

• Voice Recognition and Processing: Communicate using natural language commands.
• Web Scraping: Extract data from websites easily.
• OCR (Optical Character Recognition): Extract text from images or scanned documents.
• Image Generation: Create visual content dynamically.
• PowerPoint Presentation Generation: Automatically generate presentations from text or data.
• Natural Language Processing (NLP): Provide intelligent responses to user queries.
• Machine Learning Integration: Utilize machine learning for predictive analysis and personalized interactions.
• Object Detection with Camera Access: Perform object detection using the camera, with an efficient Colab notebook.
• Software Development: Generate code snippets or complete software.
• Task Automation: Automate repetitive tasks and workflows.

Usage 🚀

1. Clone the Repository: Clone the Jarvis repository.

   git clone https://github.com/Likhithsai2580/JARVIS.git
   cd JARVIS

2. Install Dependencies: Install the required Python dependencies.

   pip install -r requirements.txt

3. Run the Application: Launch Jarvis by running main.py.

   python main.py

4. Configure APIs: Configure free APIs for better performance. Get GEMINI_API here, cookie_bing here, and camera & OCR_Colab here and OCR.

5. Interact with Jarvis: Use the GUI interface or voice commands to explore features and execute tasks.

Contributions Welcome 🤝

Contributions to Project Jarvis are encouraged! Whether adding features, fixing bugs, improving documentation, optimizing performance, or testing the application, your contributions are invaluable. Fork the repository, make changes, and submit a pull request.

Join Our Discord Community 🎉

Connect with other Jarvis enthusiasts, contributors, and developers on our Discord server. Join discussions, ask questions, share ideas, and collaborate on enhancing Jarvis together. Click here to join our Discord community.

License 📄

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

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Thank you for considering contributing to Project Jarvis! If you have questions, suggestions, feedback, or feature requests, feel free to reach out. Your input is essential for the ongoing improvement of Project Jarvis. Happy coding with Jarvis! 🤖

YouTube Channel

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TODOs

• Implement New GUI: Design and implement a new graphical user interface.
• Implement Rawdog: Develop logic for efficient function execution.

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