AI Resume Analyzer 🧑‍💼

A powerful tool built with Python, Flask, and the Google Gemini API to help job seekers tailor their resumes for specific job descriptions.

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🚀 Features

• File Upload: Supports resume uploads in both PDF (.pdf) and Word (.docx) formats.
• AI-Powered Analysis: Uses the Google Gemini API to conduct an in-depth comparison between a resume and a job description.
• Structured Reporting: Generates a clean, easy-to-read report with key sections like a match score, strengths, skill gaps, and improvement suggestions.
• Actionable Feedback: Provides custom project ideas to help users build experience for their target roles.
• User-friendly Web Interface: Intuitive and easy-to-use UI built with Flask.

🛠️ Tech Stack

• Backend Framework: Flask
• AI Model: Google Gemini API
• File Handling: PyMuPDF (for PDF), python-docx (for Word)
• Frontend: HTML, CSS (consider using Bootstrap or Tailwind CSS for enhanced UI)
• Language: Python

📁 Project Structure

ai-resume-analyzer/
├── app.py                     # Main Flask application file
├── .env                       # For storing the API Key
├── templates/                 # HTML templates
│   ├── index.html             # Main upload and input form
│   └── report.html            # Displays analysis report
├── static/                    # Static files (CSS, JS, images)
│   ├── css/
│   │   └── style.css
│   └── images/
│       └── prototype.png
└── requirements.txt           # Project dependencies

⚙️ How to Run Locally

✅ Prerequisites

• Python 3.7+
• pip

📦 Setup Instructions

Clone the Repository

git clone https://github.com/yourusername/ai-resume-analyzer.git
cd ai-resume-analyzer

(Remember to replace yourusername with your actual GitHub username)

Create and Activate a Virtual Environment (I personally not used vene for this web app.)

For Mac/Linux:

python3 -m venv venv
source venv/bin/activate

For Windows:

python -m venv venv
.�env\Scripts�ctivate

Install Required Packages

pip install -r requirements.txt

(Make sure requirements.txt contains Flask, google-generativeai, python-dotenv, PyMuPDF, python-docx)

Configure Environment Variables

Create a file named .env in the root project folder and add your Google Gemini API key:

GEMINI_API_KEY="YOUR_API_KEY_HERE"

(Replace "YOUR_API_KEY_HERE" with your actual API key)

🏃 Run the App

flask run

Visit the URL provided in your terminal (usually http://127.0.0.1:5000) in your browser.

🧠 Future Improvements

• Export the analysis report to PDF format.
• Track analysis history for different job applications.
• Add a feature to analyze a LinkedIn profile URL instead of a resume file. <<<<<<< HEAD
• Visualize skill matches and gaps with charts and graphs. =======
• Visualize skill matches and gaps with charts and graphs.