AI Resume Analyzer

A Flask web app that uses Google Gemini AI to analyze PDF resumes against a target job description — providing a match score, missing skills, and improvement suggestions.

🔗 Live Demo: https://resume-analyzer-ai-zz71.onrender.com

How It Works

1. User uploads a resume (PDF) and pastes a job description
2. The app extracts resume text using PyMuPDF
3. The extracted text + job description are sent to Gemini with a structured prompt
4. Gemini returns a match score, missing skills, and actionable suggestions, rendered as formatted Markdown

Tech Stack

• Flask — web framework
• PyMuPDF (fitz) — PDF text extraction
• Google Gemini (gemini-2.5-flash) — resume analysis
• Bootstrap 5 — frontend styling
• Marked.js — Markdown rendering in the browser

Setup

1. Install dependencies: ```bash pip install -r requirements.txt ```

2. Copy `.env.example` to `.env` and add your Gemini API key: ```bash cp .env.example .env ```

3. Run: ```bash python src/main.py ```

4. Open `http://localhost:5000\` in your browser

Output Example

``` Match Score: 78/100 Missing Skills:

• Docker
• CI/CD pipelines Suggestions:
• Add specific metrics to project descriptions
• Highlight cloud deployment experience ```

Note

Uploaded resumes are stored temporarily in `uploads/` for processing and are not tracked in version control.