Resume Keyword Matcher

A Flask-based web application that matches resumes to job descriptions using NLP. The app analyzes resumes and job descriptions to find matching keywords and provides a similarity score.

Features

• User authentication (register, login, logout)
• PDF resume upload and text extraction
• Job description analysis
• Keyword matching and highlighting
• Similarity scoring using NLP
• Submission history
• PDF export of submissions
• Input validation and error handling
• Responsive Bootstrap UI
• Analytics dashboard
• Email notifications
• Job search integration

Tech Stack

• Python 3.x
• Flask (Web framework)
• SQLite (Database)
• PyPDF2 (PDF processing)
• sentence-transformers (NLP)
• NLTK (Natural Language Processing)
• ReportLab (PDF generation)
• Bootstrap (UI)
• Chart.js (Analytics)
• Hunter API (Email verification)
• Adzuna API (Job search)

Setup Instructions

1. Clone the repository:

git clone https://github.com/AbhinavAnand241201/resume-matcher.git
cd resume-matcher

2. Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file in the root directory with the following variables:

HUNTER_API_KEY=your_hunter_api_key_here
ADZUNA_APP_ID=your_adzuna_app_id_here
ADZUNA_API_KEY=your_adzuna_api_key_here
FLASK_ENV=development
FLASK_DEBUG=1
SECRET_KEY=your_secret_key_here

5. Initialize the database:

python resume_matcher.py

6. Run the application:

python resume_matcher.py

7. Open your browser and navigate to:

http://localhost:5000

Usage

1. Register a new account or log in
2. Search for jobs using the Adzuna API
3. Upload your resume (PDF) or paste resume text
4. Enter a job description
5. Submit to get:
   • Match score
   • Matching keywords
   • Missing keywords
   • Highlighted text
6. View submission history
7. Export submissions as PDF
8. Check analytics dashboard

Deployment

The app is configured for deployment on Render. Follow these steps:

1. Create a new Web Service on Render
2. Connect your GitHub repository
3. Set the following environment variables:
   • HUNTER_API_KEY
   • ADZUNA_APP_ID
   • ADZUNA_API_KEY
   • SECRET_KEY
4. Deploy

License

MIT License