📄 ATS Resume Analyzer

AI-Powered Resume Screening, ATS Score Analysis & HR Interview Preparation Platform

Helping Job Seekers Build ATS-Friendly Resumes with AI

Resume Analysis • ATS Scoring • NLP • HR Interview Preparation • Career Guidance

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📚 Table of Contents

• About the Project
• Key Features
• System Architecture
• Workflow
• Technology Stack
• Project Structure
• Installation
• Running the Project
• Project Modules
• Applications
• Future Enhancements
• Contributing
• License

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📖 About the Project

ATS Resume Analyzer is an AI-powered web application that helps job seekers optimize their resumes for Applicant Tracking Systems (ATS).

The platform analyzes uploaded resumes using Natural Language Processing (NLP), evaluates ATS compatibility, identifies missing keywords, and provides actionable suggestions to improve resume quality. It also includes an HR Interview Preparation module to help candidates prepare for technical and behavioral interviews.

The goal is to increase the chances of passing automated resume screening and improve interview readiness.

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✨ Key Features

📄 Resume Upload & Analysis

• Upload resumes for automated analysis
• Extract resume content
• Evaluate resume quality
• Identify strengths and weaknesses

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📊 ATS Score Evaluation

• Calculate ATS compatibility score
• Resume ranking
• Keyword matching
• Section completeness analysis

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🧠 NLP-Based Resume Processing

• Text extraction
• Keyword identification
• Skill recognition
• Experience analysis

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💡 Resume Improvement Suggestions

• Missing keywords
• Skill recommendations
• Formatting suggestions
• Resume optimization tips

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🎤 HR Interview Preparation

• HR interview dashboard
• Practice questions
• Interview scheduling module
• Candidate preparation tools

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📈 Career Insights

• Resume analytics
• Job readiness assessment
• Improvement recommendations

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🏗️ System Architecture

          User Uploads Resume
                   │
                   ▼
          Resume Text Extraction
                   │
                   ▼
      Natural Language Processing
                   │
      ┌────────────┼────────────┐
      ▼            ▼            ▼
 ATS Score    Keyword Match   Skill Analysis
      │            │            │
      └────────────┼────────────┘
                   ▼
      Resume Feedback & Suggestions
                   │
                   ▼
        HR Interview Preparation

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🔄 Workflow

Upload Resume
      │
      ▼
Extract Resume Text
      │
      ▼
NLP Processing
      │
      ▼
ATS Score Calculation
      │
      ▼
Keyword Analysis
      │
      ▼
Generate Suggestions
      │
      ▼
HR Interview Preparation

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🛠️ Technology Stack

Backend

• Python
• Flask

AI & NLP

• Natural Language Processing (NLP)
• Resume Parsing
• Keyword Extraction

Frontend

• HTML5
• CSS3
• JavaScript

Deployment

• Vercel

Development Tools

• Git
• GitHub
• VS Code

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📂 Project Structure

ATS-master/

├── app.py
├── nlp_engine.py
├── requirements.txt
├── vercel.json
│
├── hr_module/
│   ├── api.py
│   ├── scheduler.py
│   └── __init__.py
│
├── templates/
│   ├── index.html
│   ├── portal_hub.html
│   ├── hr_interviews.html
│   └── hr/
│       ├── dashboard.html
│       └── login.html
│
├── static/
│   ├── css/
│   └── js/
│
└── README.md

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📋 Prerequisites

• Python 3.10 or later
• pip
• Git

Verify installation:

python --version
pip --version
git --version

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🚀 Installation

Clone the repository:

git clone <repository-url>

Navigate to the project:

cd ATS-master

Create a virtual environment (optional):

python -m venv venv

Activate the virtual environment:

Windows

venv\Scripts\activate

Linux/macOS

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

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▶️ Running the Project

Start the Flask application:

python app.py

Open your browser:

http://127.0.0.1:5000

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📦 Project Modules

Resume Analyzer

• Resume upload
• ATS score calculation
• Resume parsing
• Keyword analysis

NLP Engine

• Text preprocessing
• Skill extraction
• Resume evaluation

HR Interview Module

• Interview dashboard
• Login
• Scheduling
• Practice interface

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🎯 Applications

• Resume Screening
• Career Development
• Placement Preparation
• HR Recruitment
• Interview Practice
• Resume Optimization
• University Placement Cells

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🚀 Future Enhancements

• AI Resume Builder
• Cover Letter Generator
• LinkedIn Profile Analysis
• Job Recommendation Engine
• Company-Specific ATS Optimization
• Mock Technical Interviews
• Resume Version Comparison
• Resume Templates
• AI Career Assistant
• Multi-language Resume Support

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🤝 Contributing

Contributions are welcome.

1. Fork the repository.
2. Create a feature branch:

git checkout -b feature-name

3. Commit your changes:

git commit -m "Add new feature"

4. Push your changes:

git push origin feature-name

5. Open a Pull Request.

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📄 License

This project is licensed under the MIT License.

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⭐ If you found this project useful, consider giving it a Star!

Built to help job seekers improve resume quality, maximize ATS compatibility, and prepare confidently for interviews.