ResumeIQ-AI

An AI-powered ATS Resume Analyzer that helps job seekers optimize resumes, identify skill gaps, and improve interview readiness through intelligent resume evaluation and job description matching.

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Overview

ResumeIQ-AI is a full-stack AI application designed to evaluate resumes against modern Applicant Tracking System (ATS) standards. It analyzes uploaded resumes, compares them with job descriptions, extracts relevant skills and keywords, calculates ATS compatibility, and generates AI-powered recommendations to improve hiring outcomes.

The platform combines intelligent document parsing, natural language processing, and modern web technologies to provide an intuitive experience for students, professionals, and recruiters.

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Key Features

• AI-powered resume analysis
• ATS compatibility scoring
• Resume parsing (PDF & DOCX)
• Job description matching
• Keyword extraction and optimization
• Skill gap identification
• Personalized AI recommendations
• Secure JWT-based authentication
• Responsive and modern user interface
• RESTful API architecture

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Technology Stack

Frontend

• React
• Vite
• Tailwind CSS
• Axios
• React Router
• Framer Motion
• Recharts

Backend

• FastAPI
• SQLAlchemy
• PostgreSQL
• JWT Authentication
• Google Gemini API

Database

• Neon PostgreSQL

Deployment

• Frontend — Vercel
• Backend — Render

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System Architecture

                React + Vite
                      │
                      ▼
            FastAPI REST API
                      │
         ┌────────────┴────────────┐
         ▼                         ▼
 Google Gemini API          PostgreSQL (Neon)

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Project Structure

ResumeIQ-AI
├── frontend
│   ├── src
│   ├── public
│   └── package.json
│
├── backend
│   ├── app
│   ├── main.py
│   ├── requirements.txt
│   └── runtime.txt
│
└── README.md

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Live Application

Frontend

https://resume-iq-ai-bice.vercel.app/

Backend API (https://resumeiq-ai-1.onrender.com)

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Getting Started

Clone Repository

git clone https://github.com/HarshMisra1102/ResumeIQ-AI.git
cd ResumeIQ-AI

Backend

cd backend

python -m venv venv

# Windows
venv\Scripts\activate

pip install -r requirements.txt

uvicorn app.main:app --reload

Frontend

cd frontend

npm install

npm run dev

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Environment Variables

Backend

DATABASE_URL=

SECRET_KEY=

GEMINI_API_KEY=

ACCESS_TOKEN_EXPIRE_MINUTES=60

Frontend

VITE_API_BASE_URL=

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Roadmap

• Resume Template Generator
• AI Cover Letter Generator
• LinkedIn Profile Analysis
• Interview Readiness Score
• Recruiter Dashboard
• Resume Version History
• Multi-language Support

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Contributing

Contributions are welcome.

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes.
4. Submit a Pull Request.

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License

Distributed under the MIT License.

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Author

Harsh Misra

B.Tech Computer Science (Artificial Intelligence & Machine Learning)

Passionate about Artificial Intelligence, Full-Stack Development, Backend Engineering, and Open Source.

GitHub: https://github.com/HarshMisra1102

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Acknowledgements

• FastAPI
• React
• PostgreSQL
• Google Gemini
• Vercel
• Render

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