Resume Shortlisting & Ranking Web App

A web-based application to upload multiple resumes, provide a job description, and automatically rank resumes based on similarity using NLP embeddings.

Features

• Upload multiple resumes (.pdf, .docx, .txt).
• Provide a job description.
• Rank resumes based on relevance to the job description.
• Show matching keywords and similarity scores.
• User-friendly web interface with upload form and results display.

Technologies Used

• Backend: Python, Flask
• NLP: Sentence Transformers (all-MiniLM-L6-v2)
• Frontend: HTML, CSS, JavaScript

Directory Structure

Resume_shortlist/
├─ backend/
│  ├─ app.py
│  ├─ matcher.py
│  └─ ...
├─ templates/
│  ├─ index.html
├─ venv/
└─ README.md

Installation (Local)

1. Clone the repository

git clone <your-repo-url>
cd Resume_shortlist

2. Create and activate virtual environment

# Windows
python -m venv venv
venv\Scripts\activate

# macOS / Linux
python3 -m venv venv
source venv/bin/activate

3. Install required packages

pip install -r requirements.txt

Note: If you don’t have requirements.txt, you can install manually:

pip install flask sentence-transformers docx2txt PyPDF2

Run the Application Locally

# Make sure your virtual environment is activated
python backend/app.py

• By default, Flask runs at: http://127.0.0.1:5000/
• Open in your browser.