Built an AI-powered Interview Prep RAG System using Java, Spring Boot, PostgreSQL (pgvector), Hugging Face, and Docker. It enables semantic search across interview questions using vector embeddings and helps identify DSA preparation gaps. Deployed with a live demo for easy access.