We built an AI-driven lead scoring tool that evaluates job descriptions on a 1–5 scale based on historical suitability and behavioral data.
Evaluating whether a job posting is worth pursuing means weighing fit, risk, and opportunity cost—often with incomplete information and no structured way to learn from past decisions.
We built an Nx monorepo with a NestJS backend and Angular frontend: a Chrome extension scrapes job postings, Google Gemini AI scores them against a personal profile stored in MongoDB, auto-archives low fits, generates tailored resumes and cover letters, sends Slack alerts for high-value matches, and provides a Kanban dashboard with real-time updates via Socket.io.
Faster, more consistent prioritization of opportunities aligned with real track record—not just headline requirements.
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