CDChaitanya/ReadEasy-AI

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updated May 8, 2025

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README

ReadEasy-AI

Intelligent Document-Based Text Summarization and Question Answering System

Run ReadEasy AI

Prerequisites

Ensure you have the following installed on your system:

  • Python 3.8+

  • Node.js 16+ npm


How to Run the Project

  1. Clone the repository (if not already):

    git clone https://github.com/CDChaitanya/ReadEasy-AI

    cd ReadEasy-AI

  2. Run the project setup script:

    source run_project.sh

    This will:

    • Create and activate a Python virtual environment

    • Install backend dependencies from requirements.txt

    • Install frontend dependencies via npm install

    • Start both the Flask server and React frontend

    • And it opens the http://localhost:3000


How to Use the App

  1. Upload your transcript.txt file using the upload button

  2. Click the "Summarize" button

    ⏳ Wait a few moments while the model processes and summarizes the document

  3. Once the summary appears, you can enter a question related to the uploaded transcript

  4. Click "Ask" --- the system will respond with an answer

Overview

Overview

This diagram shows the general structure and flow of the ReadEasy system.

Summarizing Process

Summarizing Process

Here’s the visual representation of the summarization processing window in the application.

Final Summary

Summary

This image shows a sample of the summary generated by the system.

Q&A Functionality

Q&A

This image demonstrates how the question-answering process works in the project.

CDChaitanya/ReadEasy-AI

Jupyter Notebook

0

17 commits

updated May 8, 2025

See the code

README

ReadEasy-AI

Intelligent Document-Based Text Summarization and Question Answering System

Run ReadEasy AI

Prerequisites

Ensure you have the following installed on your system:

  • Python 3.8+

  • Node.js 16+ npm


How to Run the Project

  1. Clone the repository (if not already):

    git clone https://github.com/CDChaitanya/ReadEasy-AI

    cd ReadEasy-AI

  2. Run the project setup script:

    source run_project.sh

    This will:

    • Create and activate a Python virtual environment

    • Install backend dependencies from requirements.txt

    • Install frontend dependencies via npm install

    • Start both the Flask server and React frontend

    • And it opens the http://localhost:3000


How to Use the App

  1. Upload your transcript.txt file using the upload button

  2. Click the "Summarize" button

    ⏳ Wait a few moments while the model processes and summarizes the document

  3. Once the summary appears, you can enter a question related to the uploaded transcript

  4. Click "Ask" --- the system will respond with an answer

Overview

Overview

This diagram shows the general structure and flow of the ReadEasy system.

Summarizing Process

Summarizing Process

Here’s the visual representation of the summarization processing window in the application.

Final Summary

Summary

This image shows a sample of the summary generated by the system.

Q&A Functionality

Q&A

This image demonstrates how the question-answering process works in the project.