🚀 AI Resume Analyzer

An AI-powered web application that analyzes resumes and provides an ATS (Applicant Tracking System) score, detects technical skills, and gives actionable suggestions to improve the resume.

This project helps students and job seekers understand how well their resume performs for automated recruitment systems and how they can improve it.

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✨ Features

• 📄 Resume Upload – Upload a resume in PDF format
• 📊 ATS Resume Score – Get a score out of 100 based on resume quality
• 🧠 Skill Extraction – Detects technical skills present in the resume
• 💡 Improvement Suggestions – Provides suggestions to improve the resume
• 🎨 Modern UI – Clean and responsive React interface
• ⚡ Fast Analysis – Instant resume feedback

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🖼️ Project Preview

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🛠️ Tech Stack

Frontend

• React
• TypeScript
• Axios
• CSS

Backend

• Django
• Python
• Django REST Framework

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⚙️ How It Works

1. User uploads a resume (PDF).

2. The file is sent to the Django backend API.

3. The backend analyzes the resume and extracts:

   • Skills
   • ATS score
   • Suggestions

4. The React frontend displays the results in a clean UI.

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📂 Project Structure

ai-resume-analyzer
│
├── frontend
│   ├── src
│   │   ├── App.tsx
│   │   ├── index.css
│   │   └── main.tsx
│   └── package.json
│
├── backend
│   ├── resume_analyzer
│   ├── api
│   └── manage.py
│
├── screenshots
│   └── ui.png
│
└── README.md

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🚀 Installation & Setup

1️⃣ Clone the repository

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

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2️⃣ Backend Setup (Django)

cd backend
pip install -r requirements.txt
python manage.py runserver

Backend runs at:

http://127.0.0.1:8000

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3️⃣ Frontend Setup (React)

cd frontend
npm install
npm run dev

Frontend runs at:

http://localhost:5173

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📊 Example Output

After uploading a resume, the system provides:

• ATS Resume Score (0–100)
• Detected Skills
• Suggestions to improve the resume

Example:

ATS Resume Score: 82%

Skills Found:
Python | Django | React | SQL | Git

Suggestions:
• Add more quantified achievements
• Mention internship experience
• Include more technical projects

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If you like this project, consider giving it a star ⭐ on GitHub!