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Unhired

AI-powered resume optimization platform that helps job seekers pass ATS systems and land more interviews with smart keyword analysis.

🚀 Active
2025
active
About This Project

Unhired is an AI-powered resume optimization platform designed to help job seekers improve their chances of passing Applicant Tracking Systems (ATS) and landing interviews. Users can upload their existing CV in PDF or Word format and input job descriptions via URL or text to receive AI-tailored resume versions optimized for specific positions. The platform features advanced ATS scoring analysis with numerical scores indicating resume compatibility, semantic keyword injection that goes beyond simple matching to understand context and recruiter intent, and format integrity protection that maintains professional formatting while optimizing content. Built with Next.js 16, React 19, TypeScript, and Supabase for backend services, the app leverages Google Gemini AI for intelligent analysis. With rapid 12-second processing times and features like AI cover letter generation and keyword gap analysis, Unhired has helped optimize over 50,000 resumes with an 82% reported interview rate.

Technologies Used
The tech stack that powers this project
Next.js
React
TypeScript
Tailwind CSS
Supabase
Google Gemini AI
Project Links
Explore the code, demo, or live website

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