ThinkQuest 🤖📚

An intelligent study companion powered by AI to help students with various subjects and topics.

🚀 Features

• Text-based Q&A
• Image processing and analysis
• PDF text extraction and analysis
• Topic-specific hints (General, Coding, Math, Science)
• Chat history for each input type

🛠️ Tech Stack

• Python 3.7+
• Streamlit
• Groq API
• PyTesseract (OCR)
• PyMuPDF (PDF processing)

📚 Libraries

• streamlit
• groq
• pytesseract
• Pillow (PIL)
• PyMuPDF (fitz)
• requests

🏗️ How to Use the Code

1. Clone the repository:

   git clone https://github.com/muhammad-farhan67/AI-Study-Assistant.git
   cd AI-Study-Assistant
   

2. Install the required libraries:

   pip install -r requirements.txt
   

3. Set up your Groq API key:

   • Create a .streamlit/secrets.toml file in your project directory
   • Add your Groq API key to the file:

     GROQ_API_KEY = "your-api-key-here"
     

4. Install Tesseract OCR:

   • For Windows: Download and install from GitHub
   • For macOS: brew install tesseract
   • For Linux: sudo apt-get install tesseract-ocr

5. Update the Tesseract path in the code if necessary:

   pytesseract.pytesseract.tesseract_cmd = r'path/to/tesseract'

6. Run the Streamlit app:

   streamlit run app.py
   

🚀 How to Deploy on Streamlit

1. Create a Streamlit account at streamlit.io

2. Connect your GitHub repository to Streamlit

3. Create a new app and select your repository

4. Add your Groq API key to the Streamlit secrets:

   • Go to your app settings
   • Navigate to the "Secrets" section
   • Add your Groq API key as GROQ_API_KEY

5. Deploy your app

6. Your AI Study Assistant is now live and accessible via the provided Streamlit URL!

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

📝 License

This project is MIT licensed.

🙏 Acknowledgements

• Groq for providing the AI model API
• Streamlit for the awesome web app framework
• PyTesseract and PyMuPDF for image and PDF processing capabilities