AI Placement Intelligence Platform

Built a full-stack AI-powered placement preparation platform that helps engineering students assess their placement readiness through resume analysis, skill-gap detection, and AI-based mock interviews. The platform analyzes uploaded resumes, extracts technical skills, identifies missing technologies, calculates a placement readiness score, and generates personalized preparation suggestions. It also includes a mock interview module and a dashboard that visualizes student strengths and improvement areas. Designed with scalability in mind, the architecture is ready for integration with modern Large Language Models (LLMs) to provide intelligent resume reviews and adaptive interview feedback. Key Features: • Resume analysis and skill extraction • Placement readiness scoring • Skill gap detection • AI mock interview simulation • Personalized preparation roadmap • Student analytics dashboard Tech Stack: Frontend: HTML, CSS, JavaScript Backend: Python, Flask Deployment: Render This project demonstrates full-stack development, backend API design, AI product architecture, and real-world problem solving for placement preparation.