AI-Powered Document Summarizer Development
Bindupautra Jyotibrat
📄 Document Summarizer
AI-powered document summarization tool that extracts key insights from PDFs, DOCX, and plain text files.
📑 Table of Contents
🌟 Features
🔹 Key Highlights
✅ Extract text from PDFs & DOCX files effortlessly.
✅ AI-generated summaries using state-of-the-art transformer models.
✅ Intelligent keyword extraction for enhanced insights.
✅ Multi-model support (T5, BART, Pegasus, etc.).
✅ Vector search for precise retrieval.
✅ Sleek React.js frontend for a seamless experience.
✅ Question Answering support.
🏗️ Tech Stack
🔹 Backend
Flask - Lightweight web framework
Transformers (Hugging Face) - Pretrained NLP models (T5, BART, Pegasus)
PDFPlumber - Extracts text from PDFs
docx - Parses DOCX files
spaCy & YAKE - NLP processing & keyword extraction
LangChain & FAISS - AI-powered document retrieval & vector similarity search
Sentence Transformers - Embedding generation
Gemini 1.5 Flash API - Used for Question Answering
🔹 Frontend
React.js + Vite - Blazing fast UI development
Tailwind CSS - Modern styling framework
Lucide Icons - Minimalist UI enhancements
📂 Project Structure
🚀 Deployment Status
🔹 Frontend Deployment
The frontend of the application is deployed and accessible for preview. You can explore the user interface and interact with the design at the following link:
However, please note that the backend has not been deployed yet. As a result, the full functionality of the Document Summarizer, including AI-powered summarization and document processing, is not available in the live version.
To experience the complete features, you will need to set up the backend locally by following the Installation & Setup instructions.
🚀 Installation & Setup
🔧 1️⃣ Clone the Repository
🔑 2️⃣ Obtain a Gemini API Key
To use the Gemini 1.5 Flash API for question answering, you need to obtain an API key. Follow these steps:
Sign Up for Gemini API:
Go to the Gemini API website and sign up for an account.
Follow the instructions to create a new API key.
Set Up the API Key:
Navigate to the
backend directory:Open the
.env file in a text editor:Add your Gemini API key to the
.env file:Save and close the file.
🖥️ 2️⃣ Backend Setup
Navigate to the
backend directory.Create a virtual environment and install dependencies:
Run the Flask server:
🎨 3️⃣ Frontend Setup
Navigate to the root directory and install dependencies:
Run the development server:
🎨 Figma Design
The UI/UX design for the Document Summarizer was created using Figma. You can view the design and interact with the prototype using the link below:
🎥 How to Run the Application
📌 Watch the video tutorial on setting up and running the application locally:
To.Run.in.Local.Machine.compressed.mp4
🎥 Demo Video
📌 Watch the live demo of the Document Summarizer in action:
Demo.compressed.mp4
👥 Contributors
This project was made possible by the contributions of these amazing individuals:
📜 License
🔹 Licensing Details
This project is licensed under the MIT License - see the LICENSE file for details.
🏆 Acknowledgment
This project is part of Neurathon '25 conducted by NIT Silchar.
Like this project
Posted May 25, 2025
Developed an AI-powered document summarization tool with a React.js frontend.
Likes
0
Views
3
Timeline
Feb 19, 2025 - Feb 21, 2025
