Engineering an AI-Powered Resume Analyzer

The recruitment process is notoriously opaque. I built Hirelens to democratize ATS (Applicant Tracking System) screening. The goal was to create a web application that leverages AI to analyze a user's resume against a specific job description and provide instant, actionable feedback.

/02 The Architecture: Parsing & Prompt Engineering

The hardest part of AI integration isn't calling the API—it's structuring the data. I engineered a secure backend route that extracts text from uploaded PDFs, sanitizes it, and injects it into a highly constrained system prompt. This ensures the LLM returns structured JSON data (scores, missing keywords, formatting tips) rather than a block of generic text.

“In AI web development, the UI is only as good as the prompt engineering behind it. Predictable JSON outputs are the secret to seamless frontend integration.

/05 Real-Time Feedback UI

Once the AI returns the analysis, the frontend takes over. I utilized a custom charting component to render the user's ATS match score dynamically. The feedback is split into prioritized, glowing 'pills'—red for critical missing keywords, and green for matched skills. This transforms a wall of AI text into an intuitive, gamified user experience.