I need an AI developer to build a full-stack platform that helps college students, job seekers gauge and improve their placement readiness in the software industry. The engine has to ingest a student’s résumé, skills inventory, and mock-interview recordings, then surface clear, actionable feedback. Core feature set • Résumé quality analysis that benchmarks ATS ranking, highlights formatting issues, pinpoints weak content or grammar, and suggests exact wording or structure changes to lift the score. • Skill-alignment module that runs gap analysis against chosen job roles, generates personalized learning paths, blends in expert recommendations, and overlays current industry outlook so students know which competencies to prioritize. • Interview-performance evaluation—video or audio—using NLP, sentiment, and facial-cue detection to score confidence, clarity, and technical depth, followed by improvement tips. Tech expectations I am open to your preferred stack, but you should be comfortable with modern LLMs (OpenAI or similar), résumé-parsing libraries, standard ATS keyword taxonomies, and basic computer-vision / audio-analysis frameworks. A modular microservice design with clean APIs will make future expansion easier. Deliverables 1. Working web application (responsive) with student and admin dashboards 2. Model pipelines for résumé, skills, and interview analysis, each exposed via REST or GraphQL 3. Clear documentation and a hand-off session Acceptance criteria • Résumé module returns an ATS-style score and at least three concrete fixes per upload • Skill module maps current profile to target role within 10 seconds and outputs a learning path • Interview module processes a five-minute video in under two minutes and produces a scored report If you have shipped ed-tech or HR-tech AI products before, please share a link or brief description. I am ready to start as soon as we finalize milestones and timeline.