๐Ÿš€ ATS 100 โ€” AI Resume Analyzer

๐Ÿ’ก Inspiration

Applying for jobs today feels like fighting a black box. You submit resumes, but never know why they get rejected. Most candidates donโ€™t realize that resumes are first filtered by ATS (Applicant Tracking Systems), not humans.

We wanted to demystify ATS scoring and give candidates actionable insights โ€” not just generic advice, but real, AI-powered feedback that improves their chances of getting shortlisted.


๐Ÿง  What it does

ATS 100 is an AI-powered resume analyzer that helps users optimize their resumes for modern hiring systems.

  • ๐Ÿ“„ Upload your resume (PDF)
  • ๐Ÿค– Get AI-driven analysis
  • ๐Ÿ“Š Receive an ATS compatibility score
  • ๐Ÿงฉ Get section-wise feedback (skills, experience, structure)
  • ๐Ÿ’ก Actionable suggestions to improve ranking
  • ๐Ÿ‘€ Visual preview of parsed resume

It bridges the gap between human-readable resumes and machine-readable formats.


โš™๏ธ How we built it

Frontend Architecture

  • React 19 + React Router v7 for scalable routing
  • Tailwind CSS for rapid UI development
  • Component-driven architecture for maintainability

Core Processing Pipeline

  1. PDF upload โ†’ parsed using PDF.js
  2. Resume content extracted and normalized
  3. AI analysis layer evaluates:
  • Keyword matching
  • Section completeness
  • Formatting & structure
    1. ATS scoring engine generates a score
    2. Feedback engine produces suggestions

Storage & Infra

  • Puter.js for file handling & storage abstraction
  • Vite for blazing-fast builds
  • TypeScript for type safety and reliability

๐Ÿงฉ Challenges we ran into

  • Parsing PDFs reliably โ†’ Different resume formats break structure
  • Designing ATS scoring logic โ†’ Needed a balance between realism and usability
  • Making feedback actionable โ†’ Avoid generic AI responses
  • UI clarity โ†’ Present complex analysis in a simple, readable way

๐Ÿ† Accomplishments that we're proud of

  • Built a fully functional AI resume analyzer end-to-end
  • Designed a clean scoring system users can understand instantly
  • Delivered real-time feedback with a great UX
  • Created a tool that has real-world impact for job seekers

๐Ÿ“š What we learned

  • Real-world AI apps need strong UX + explainability
  • Data extraction is harder than model inference
  • ATS systems are more about structure + keywords than just content
  • Speed and feedback clarity matter more than fancy features

๐Ÿ”ฎ What's next for ATS 100

  • ๐Ÿ” Job-specific resume optimization (JD matching)
  • ๐Ÿง  LLM-powered rewriting suggestions
  • ๐Ÿ“ˆ Resume improvement tracking over time
  • ๐ŸŒ Chrome extension for instant resume scoring
  • ๐Ÿค Integration with job platforms

๐Ÿ› ๏ธ Built With

  • React 19
  • React Router v7
  • Tailwind CSS
  • TypeScript
  • PDF.js
  • Puter.js
  • Vite

๐Ÿ”— Try it out

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