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AI-Powered Context-Aware Blockchain Explorer

Project Demo

My.Movie.3.-.720WebShareName.mov

Description

AI-Powered Context-Aware Blockchain Explorer is a cutting-edge Chrome extension designed to enhance your browsing experience on blockchain-related websites. With this extension, you can effortlessly summarize the content of any page with a single click or set it to automatically summarize specific types of websites. From the generated summaries, you can then ask questions using our integrated Language Learning Model (LLM).

Key Features

  • One-Click Summarization: Instantly generate concise summaries of any webpage.
  • Automatic Summarization: Configure settings to auto-summarize specific types of websites.
  • Interactive Q&A: Ask questions directly from the generated summaries using our advanced LLM.
  • Seamless Integration: Integrate with Firebase to reference and query texts directly within your code.

Further Development

Firebase Integration

In future iterations, we aim to integrate Firebase to enable direct text references within our code. This integration will allow for a more streamlined and efficient querying process, making it easier to extract and utilize information.

Potential and Loopholes

Potential

  • Enhanced User Experience: Simplifies the process of understanding complex blockchain-related content.
  • Improved Efficiency: Saves time by providing quick summaries and answers to user queries.
  • Scalability: Can be adapted to various types of content beyond blockchain.

Loopholes

  • Accuracy of Summaries: The quality of summaries depends on the accuracy and capability of the LLM.
  • Privacy Concerns: Handling and processing of sensitive information need strict security measures.
  • Dependency on Internet Connection: Requires a stable internet connection for real-time summarization and querying.

Installation Guide

  1. Clone the repository:

    git clone https://github.com/Ayushjhax/superteamUK.git
    cd LLM-Chatbot
  2. Install the required dependencies:

    pip install -r requirements.txt
  3. Run the application:

    python3 app.py
  4. Access the local host to start using the extension:

    http://localhost:5000

Screenshots

image image image image

Author

Ayush Kumar Jha
GitHub: @Ayushjhax

Contact

For any questions or feedback, feel free to reach out to [email protected].

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