LegacyKeeper

Overview

A cinematic family archive that transforms scattered photos, documents, and stories into an intelligent private museum.

Key Features & Architecture

• • Built for families, family historians, and archive curators who need structured, searchable vaults for memories, artifacts, relationships, and governed access.
• • Core stack uses React, TypeScript, Vite, TanStack Router, Django REST Framework, Python, PostgreSQL with pgvector, Celery, TanStack Query, Zustand, and typed feature modules.
• • Immersive interface work combines React Three Fiber, Three.js, Framer Motion, Tailwind CSS, Phosphor Icons, and custom UI primitives.
• • AI artifact curation extracts EXIF data, OCR text, visual tags, object signals, face embeddings, captions, and confidence-scored suggestions for human review.
• • Hybrid vibe search combines vector similarity, lexical matching, OCR/document text, people tags, dates, and reranking to surface memories by meaning.
• • Living lineage and vault governance cover people, relationships, biographies, face-linked memories, invitations, share links, audit logs, collections, time capsules, and duplicate-aware cleanup.