Resume Analyzer

College Project - 3rd Semester BPPIMT

A Django web application that analyzes PDF resumes and provides scoring based on job requirements with AI integration.

Project Structure

django-project/
├── manage.py
├── venv/                    # Virtual environment
├── db.sqlite3              # Database
├── resume_analyzer/        # Main project directory
│   ├── __init__.py
│   ├── settings.py         # Project settings
│   ├── urls.py            # Main URL configuration
│   └── wsgi.py            # WSGI configuration
├── analyzer/              # Main application
│   ├── __init__.py
│   ├── models.py          # Database models
│   ├── views.py           # View functions
│   ├── forms.py           # Form definitions
│   ├── urls.py            # App URL patterns
│   ├── admin.py           # Admin interface
│   ├── utils.py           # PDF processing utilities
│   ├── scoring.py         # Resume scoring logic
│   ├── gemini_ai.py       # AI integration
│   ├── templates/         # HTML templates
│   │   └── analyzer/
│   │       ├── base.html
│   │       ├── home.html
│   │       ├── upload.html
│   │       └── results.html
│   ├── migrations/        # Database migrations
│   └── management/        # Custom management commands
│       └── commands/
├── media/                 # Uploaded files storage
│   └── resumes/
└── static/               # Static files (CSS, JS, images)

Demo Screenshots

Welcome page with project overview

Job type and experience level selection

Resume upload interface

Detailed analysis results with AI scoring

Features

• PDF resume upload and text extraction
• Job type selection (30+ categories)
• Experience level selection (Entry/Mid/Senior)
• AI-powered scoring across multiple criteria
• Interactive score visualization
• Improvement suggestions
• Admin panel for data management

Technologies Used

• Backend: Django 6.0, Python 3.13
• AI: Google Gemini AI, scikit-learn
• PDF Processing: PyPDF2
• Frontend: Bootstrap 5, Chart.js
• Database: SQLite

Setup Instructions

1. Navigate to project directory:

   cd django-project

2. Activate virtual environment:

   source venv/bin/activate

3. Run the server:

   python manage.py runserver 8080

4. Open browser and go to: http://127.0.0.1:8080

Created By

Student Name: Surajit Sen Sem: 3rd
College: BPPIMT