ResynAI
AI-powered SaaS for ATS-optimized resumes.
What I built
Built a full-stack SaaS platform with Next.js, Supabase, and Vercel, integrating APIs and persistent storage for user customization. Developed a robust scraping and parsing pipeline using Axios and Cheerio to extract and process resume content. Applied the OpenAI API to generate structured, ATS-optimized content that helps users improve their job application success rates.
Challenges
Handling various resume formats and parsing them accurately required robust error handling and data normalization. Integrating multiple APIs (scraping, parsing, and AI generation) while maintaining performance and user experience was a key technical challenge.
Architecture
Full-stack Next.js application deployed on Vercel with Supabase providing authentication, database, and real-time capabilities. The architecture features a scraping pipeline (Axios + Cheerio) for content extraction, OpenAI API integration for intelligent content generation, and Supabase for persistent user data and customization settings. Tailwind CSS ensures a responsive and intuitive UI.
Results
Created an intuitive platform that transforms resume optimization through AI-powered content generation. The system effectively handles diverse resume formats and generates ATS-friendly content, improving user job application outcomes.