🌟 Bhala Manus: No BackLog Abhiyan 🌟

Padh le yaar... (Study hard, buddy!)

Hosted App

Bhala Manus is your AI-powered study companion, meticulously crafted to help you conquer your computer science courses and banish the fear of backlogs. This powerful tool integrates cutting-edge language models, a robust vector database, and real-time web search to deliver comprehensive, digestible explanations that make learning a joyful experience.

✨ Key Features

• Multi-Source Contextual Understanding: Bhala Manus intelligently gathers information from various sources to provide the most relevant and accurate answers:
  • Web Data: Real-time information retrieval from the internet.
  • Documents Data: Extracts key information from your chosen document sets.
  • Chat History: Maintains context by remembering previous interactions (optional).
  • LLM Data: Harnesses the power of large language models for insightful responses.
• Document Versatility: Choose between different Vectorstore(Documents) for focused learning on specific topics like cns, dbms, pma and ml
• Advanced LLM Selection: Choose between various versions of the Llama 3 Models, each optimized for different needs.
• Enhanced Customization:
  • Internet Access: Decide whether to allow web search during the session.
  • Chat History: Choose to enable or disable the use of previous chat history.
• Multimedia Query Support:
  • Image-Based Question Answering: Upload images of questions, diagrams, or even complex tables and get analyzed, detailed responses.
  • YouTube Video Summarization: Simply input a YouTube link and the tool will provide a comprehensive summary of the video, tailored to your queries, and give transcriptions as well.
• Streamlined User Experience:
  • Intuitive and visually appealing Streamlit-based user interface.
  • Engaging animated gradient background to make learning fun.

⚙️ Installation

1. Clone the repository:

   git clone https://github.com/IsNoobgrammer/Exam-Helper.git
   cd Exam-Helper

2. Install dependencies:

   pip install -r requirements.txt

3. Acquire API Keys:

   • Groq API Key: Sign up for a free account on Groq to obtain your unique API key.

🚀 Usage

1. Launch the Streamlit app:

   streamlit run main.py

2. Configure Your Environment:

   • Enter your Groq API key in the sidebar.
   • Select your preferred Llama 3 model for LLM inference.
   • Choose your specific document set from the dropdown menu.
   • Toggle Internet access and chat history according to your preference.

3. Dive into Learning!

   • Type in your questions, upload images, or input YouTube links.
   • Experience the power of AI as it delivers tailored responses.
   • Make sure to ask meating-meeting Questions.

🛠️ Dependencies

• LangChain: A versatile framework for building sophisticated LLM-powered applications.
• Groq: For accessing cutting-edge language models like the Llama 3 series.
• Pinecone: For robust vector database management (if using document sets).
• Google Generative AI: For high-performance embedding services.
• DuckDuckGo Search: For fetching real-time data from the web.
• Streamlit: For building a responsive and engaging user interface.
• Pillow (PIL): For advanced image processing capabilities.
• YouTube Transcript API: To extract transcriptions from the YouTube video for summaries.
• st-multimodal-chatinput: For handling multi-modal inputs like images.

🙏 Acknowledgements

• We extend our sincere gratitude to the creators of the fantastic libraries and services that power this project.
• To everyone who has ever faced a backlog - this app is for you!

🤝 Contributing

We welcome contributions! Feel free to submit issues or open pull requests to improve this project.

Current Contributors

We appreciate the valuable contributions of the following developers:

📄 License

This project is licensed under the Apache License - see the LICENSE file for details.

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Made with ❤️ by IsNoobGrammer and Co.