MemoryVerse AI — Intelligent Digital Identity System

Every student accumulates certificates, resumes, project reports, and internship letters across years — scattered across folders, emails, and drives. MemoryVerse AI transforms this fragmented data into a structured, searchable, intelligent digital identity. Built for MemoryVerse AI '26, the system uses a single Gemini API call per document to classify it (Project / Skill / Certification / Internship / Achievement / Academic) and extract structured metadata — title, date, skills, and a summary. Documents are embedded using Gemini's embedding model and stored in a lightweight cosine-similarity vector store, enabling true semantic search: a query like "show my AI projects" matches on meaning, not keywords. A batched relationship-inference pass connects documents across the corpus (e.g. a certification's skills resurfacing in a later project), and a chronological timeline view is generated automatically from extracted dates. Built solo in a 48-hour hackathon window, with a deliberate focus on depth over breadth — prioritizing genuine AI organization and retrieval quality over shallow coverage of every possible feature.