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Cover image for ApplyIQ – AI-Powered Job Application
ApplyIQ – AI-Powered Job Application Tracker & Resume Screener Overview ApplyIQ is a full-stack web application designed to help job seekers track their applications and optimize their resumes using AI. Users can manage their interview pipeline via an intuitive dashboard, log specific job details, and simulate an automated applicant tracking system (ATS) screening process. By processing uploaded resumes against job descriptions, the app delivers a comprehensive match score, breakdowns of core strengths, and actionable alignment feedback before submission. My Role & Execution As the sole Product Designer and Full-Stack Engineer, I took this project from initial UX ideation and high-fidelity interface design to production-ready code. Design & UX: Engineered a clean, data-dense layout focusing on clarity. I prioritized the visual breakdown of metrics, application funnel status, and information extraction review steps to ensure a seamless multi-step user flow. AI Integration: Connected the backend to the Groq API to perform high-speed resume analysis, extracting critical text fields, scoring core skill matches, and generating constructive feedback dynamically. Payments & Monetization: Implemented Stripe API to manage subscription tiers, building out secure payment rails and conversion logic for the premium tier. Tech Stack & Reliability: Built the core application using Next.js for optimal speed and routing, styled with Tailwind CSS. To ensure high platform stability, I implemented comprehensive automated end-to-end testing utilizing Playwright and component verification with Vitest.
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