📄 ResumeRanker

ResumeRanker is an AI-powered Django web application that matches and ranks uploaded resumes based on a specific job description using NLP and machine learning techniques like TF-IDF and cosine similarity.

🚀 Features

• Upload job descriptions and resumes
• Rank resumes based on job relevance
• Simple web frontend with backend API
• PDF text extraction using pdfplumber
• NLP processing with spaCy
• TF-IDF scoring and cosine similarity via scikit-learn

🛠 Tech Stack

• Python 3
• Django
• Django REST Framework
• spaCy (NLP)
• pdfplumber (PDF text extraction)
• scikit-learn (ML)
• HTML/CSS (for frontend)

📦 Setup Instructions

1. Clone the repo:

   git clone https://github.com/yourusername/resumeranker.git
   cd resumeranker

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Download spaCy model:

   python -m spacy download en_core_web_sm

5. Run the server:

   python manage.py migrate
   python manage.py runserver

6. Visit http://127.0.0.1:8000/ to access the frontend.

📁 Folder Structure