Swipe right on your next career move. A Tinder-style interface for personalized job matchmaking.
Traditional job boards are exhausting. Candidates spend hours endlessly scrolling through generic, text-heavy descriptions only to realize a role is a poor fit. The UX of job hunting hasn't changed in two decades, resulting in high drop-off rates and candidate burnout.
Ziggi reimagines the job hunt by adopting a behavioral model users already love: the swipe. By leveraging an AI backend to parse resumes, Ziggi serves up highly curated roles one at a time.
Instead of overwhelming the user, the UI distills the job into a scannable "Match Card" focusing only on what matters: the mission, why it's a fit, and where the gaps are.
The prototype was built entirely in HTML/CSS and JavaScript to ensure maximum performance and lightweight mobile rendering. The backend (the initial ATS intake tool) was constructed using Python and Flask to write directly to a local JSON database, feeding the frontend swipe logic.