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AI & Machine Learning v1.0.0 Intermediate

AI Resume Builder & Analyzer using NLP and ATS Optimization

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An AI-powered resume builder and analyzer that evaluates ATS scores, extracts keywords, and helps create professional resumes.

Technologies & Skills

Python NLP Machine Learning React JavaScript HTML CSS Flask/Django SQLite Tailwind CSS Git GitHub

Tags

ai resume ats nlp python react machine-learning resume-builder ats-checker keyword-extraction job-matching recruitment hr-tech career portfolio
INR 999
INR 2,500 60% OFF

Limited time offer

What's Included

Complete Source Code
Documentation
Project Report
Presentation Slides
External Download Link

Support & Customization

Support: Standard
Custom modifications available

Customization services are available based on client requirements. Services Offered: • Custom UI/UX enhancements • Additional ATS scoring improvements • A...

File Size 3.37 MB
Last Updated Jun 30, 2026

Resource Links

Purchase this project to unlock source and premium resources. Document/report remain secure preview-based on this page.

Overview

AI Resume Builder & Analyzer is an intelligent web application that helps job seekers create, analyze, and optimize professional resumes using Artificial Intelligence and Natural Language Processing (NLP). The platform evaluates resumes against job descriptions, identifies missing keywords, estimates ATS compatibility, and provides actionable suggestions to improve hiring success.

Designed for students, fresh graduates, and professionals, the application streamlines resume creation while ensuring compatibility with modern Applicant Tracking Systems (ATS).

Features

  • AI-based resume analysis
  • ATS compatibility scoring
  • Resume parsing using NLP
  • Job description comparison
  • Keyword extraction and optimization
  • Missing skills identification
  • Professional resume templates
  • Resume export functionality
  • Privacy-focused local document processing
  • Clean and responsive user interface

How It Works

  1. Upload an existing resume.
  2. Enter or upload the target job description.
  3. The AI analyzes the resume content.
  4. Important keywords and skills are extracted.
  5. The ATS score is calculated.
  6. Missing skills and improvements are suggested.
  7. The user can edit and export an optimized resume.

Benefits

  • Improves ATS compatibility.
  • Increases interview selection chances.
  • Saves time during resume preparation.
  • Provides data-driven resume recommendations.
  • Helps users tailor resumes for different job roles.

Project Highlights

  • Artificial Intelligence integration
  • Natural Language Processing (NLP)
  • Resume parsing engine
  • ATS optimization algorithms
  • Modern responsive UI
  • Secure document processing
  • Professional resume generation
  • Scalable application architecture


Future Enhancements


Known Issues


Installation

Prerequisites

Before running the project, ensure you have the following installed:

  • Git
  • Python 3.10 or later
  • Node.js 18+ and npm
  • Virtual Environment (recommended)

Installation Steps

1. Clone the Repository


git clone https://github.com/HarshBathija-04/AI-Resume-Shortlister.git
cd AI-Resume-Shortlister

2. Create a Virtual Environment

Windows


python -m venv venv
venv\Scripts\activate

Linux/macOS


python3 -m venv venv
source venv/bin/activate

3. Install Backend Dependencies


pip install -r requirements.txt

4. Install Frontend Dependencies (if applicable)


cd frontend
npm install

5. Configure Environment Variables

Create a .env file in the project root and add the required environment variables.

Example:


SECRET_KEY=your_secret_key
DATABASE_URL=your_database_url
API_KEY=your_api_key

6. Start the Backend Server

For Flask:


flask run

or


python app.py

For Django:


python manage.py runserver

7. Start the Frontend


npm run dev

8. Open the Application

Frontend:


http://localhost:5173

Backend:


http://localhost:5000

(or the port configured in your application)

Usage

Usage Guide

  1. Launch the application after completing the installation.
  2. Create an account or log in to access the dashboard.
  3. Upload your existing resume in PDF or DOCX format.
  4. Paste or upload the target Job Description (JD) for analysis.
  5. Click Analyze Resume to start the AI-powered evaluation.
  6. The system will calculate your ATS score, extract important keywords, identify missing skills, and provide personalized improvement suggestions.
  7. Review the recommendations and update your resume using the built-in resume builder or editor.
  8. Generate a professional, ATS-friendly resume and export it in your preferred format.
  9. Repeat the process for different job roles to maximize your chances of passing Applicant Tracking Systems (ATS).

Expected Output

  • ATS Compatibility Score
  • Keyword Match Analysis
  • Missing Skills Report
  • Resume Strengths & Weaknesses
  • AI-Powered Improvement Suggestions
  • Professionally Formatted Resume Ready for Job Applications

This workflow helps job seekers create optimized resumes, improve ATS rankings, and increase interview opportunities with AI-driven insights.

System Requirements

System Requirements

Operating System

  • Windows 10/11 (64-bit)
  • macOS 11 or later
  • Ubuntu 20.04+ or any modern Linux distribution

Software Requirements

  • Python 3.10 or later
  • Node.js 18+ and npm
  • Git
  • Modern Web Browser (Google Chrome, Microsoft Edge, Firefox, or Safari)

Hardware Requirements

  • Processor: Dual-Core 2.0 GHz or higher
  • RAM: Minimum 4 GB (8 GB Recommended)
  • Storage: At least 500 MB of free disk space
  • Internet connection (required for installation, updates, and AI services if enabled)

Optional Requirements

  • Visual Studio Code or any preferred code editor
  • Virtual Environment (venv)
  • Docker (optional for containerized deployment)

Supported File Formats

  • Resume Upload: PDF, DOCX
  • Job Description: TXT, DOCX, or plain text

These requirements ensure smooth installation, AI-powered resume analysis, ATS score generation, keyword extraction, and resume optimization across all supported platforms.


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