Project: [Creative Apps] - ATS_ResumeChecker

Track

Creative Apps (GitHub Copilot)

Project Name

ATS_ResumeChecker

GitHub Username

GaurRitika

Repository URL

https://github.com/GaurRitika/Resume-checker

Project Description

AI-powered Resume Reviewer that analyzes resumes, scores them, and provides actionable feedback to help job seekers beat ATS and land interviews.

1. Resume Upload & Analysis – Upload your resume and receive instant AI-driven feedback.
2. ATS Compatibility Scoring – Understand how Applicant Tracking Systems (ATS) parse your resume.
3. Actionable Suggestions – Improve phrasing, keywords, and formatting.
4. Keyword Highlights – Ensure your resume aligns with job descriptions.
5. Detailed Feedback Report – Easy-to-read scoring and improvement breakdown.

Demo Video or Screenshots

DemoVideo: https://youtu.be/iamDVeHeOIk?si=3oYrdc1PARtv_b_-
Screenshot:

LiveDemo: https://resume-review-five.vercel.app/

Primary Programming Language

Python

Key Technologies Used

Frontend: React / Next.js / Tailwind CSS
Backend / AI: Node.js + OpenAI API (GPT models)
Deployment: Vercel

Submission Type

Team (2-4 members)

Team Members

GaurRitika - Backend Developer
akanksha15sharma - Frontend Developer

Submission Requirements

• My project meets the track-specific challenge requirements
• My repository includes a comprehensive README.md with setup instructions
• My code does not contain hardcoded API keys or secrets
• I have included demo materials (video or screenshots)
• My project is my own work with proper attribution for any third-party code
• I agree to the Code of Conduct
• I have read and agree to the Disclaimer
• My submission does NOT contain any confidential, proprietary, or sensitive information
• I confirm I have the rights to submit this content and grant the necessary licenses

Quick Setup Summary

1. Clone & install

git clone https://github.com/GaurRitika/pror
cd pror
npm install

2. Add environment variables (create .env file)

VITE_STRIPE_PUBLISHABLE_KEY=your_stripe_publishable_key

3. Run locally

npm run dev # Dev server at http://localhost:5173

4. Build for production

npm run build

Technical Highlights

User uploads resume → read via browser's FileReader API as plain text
User pastes job description → stored in React state
On "Analyze" →

analyzeResumeContent()
runs synchronously:

Resume Text + Job Description
↓
Regex keyword extraction (50+ tech/business keywords)
↓
┌─────────────────────────────────────────────┐
│ ATS Score → Checks: email, phone, │
│ sections, special chars │
│ Keyword Score → Matched / Total JD keywords│
│ Readability → Avg words per sentence, │
│ total word count │
└─────────────────────────────────────────────┘
↓
Overall Score = avg of 3 (capped at 95% for free)
↓
Dynamic FeedbackItem[] generated based on gaps

Challenges & Learnings

Parsing the resume was the most exciting and learning of this project journey .

Contact Information

ritika.gaur2005@gmail.com , https://www.linkedin.com/in/ritikagaur21/

Country/Region

India

This issue is a project submission rather than a defined change request; begin with the linked Resume-checker repository and its README/setup instructions. Review the stated resume upload, scoring, feedback, and keyword behavior, then use the provided npm commands or live demo; no contribution scope or completion condition is specified.