📄 AI-Powered Resume Summarizer

This project uses a Hugging Face Transformer model to generate concise, bullet-point summaries from resume text or PDF files, all wrapped in a simple and interactive web app built with Streamlit.

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📘 Project Overview

The goal of this project is to:

• Build a user-friendly tool for quick resume analysis and summarization.
• Process resumes from both raw text input and uploaded PDF files.
• Leverage a powerful pre-trained AI model for high-quality, abstractive summarization.
• Deploy the tool as a live, interactive web application.

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🧠 Tech Stack

• Python 3.9+
• Streamlit — For building and serving the interactive web interface.
• Hugging Face Transformers — For the core AI summarization pipeline (facebook/bart-large-cnn).
• PyPDF2 — For reliably extracting text from PDF documents.

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📁 Folder Structure

ResumeSummarizer/
│
├── app.py              # The main Streamlit application script
├── requirements.txt    # Required Python packages for setup
├── .gitignore          # Specifies files for Git to ignore
├── Sample Resumes/     # (Optional) Folder for sample PDFs
└── README.md           # This documentation file

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⚙️ Setup and Instructions

1️⃣ Clone this Repository

git clone [https://github.com/Tejash1002/ResumeSummarizer.git](https://github.com/Tejash1002/ResumeSummarizer.git)
cd ResumeSummarizer

2️⃣ Create and Activate a Virtual Environment

It is highly recommended to use a virtual environment to keep project dependencies isolated.

• On Windows:

  python -m venv venv
  venv\Scripts\activate

• On macOS/Linux:

  python3 -m venv venv
  source venv/bin/activate

3️⃣ Install Required Packages

Install all the necessary libraries using the requirements.txt file.

pip install -r requirements.txt
pip install streamlit PyPDF2 transformers torch

4️⃣ Run the Streamlit App

Start the Streamlit server to launch the web application.

streamlit run app.py

Your web browser should open with the application running.

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🚀 How to Use the App

1. Once the app is running, choose your preferred input method: 'Upload a PDF' or 'Paste Text'.
2. If uploading, click 'Browse files' and select a resume in PDF format from your computer.
3. If pasting text, copy the full content of the resume into the text area provided.
4. Click the "✨ Summarize" button to start the AI generation.
5. Within seconds, a concise, bullet-pointed summary will appear on the screen.

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👤 Author

Tejash

• GitHub Profile

⭐ If you found this project helpful, don’t forget to star the repository!