Shared Aesthetic
AI-powered cross-media recommendation website based on 'vibes' and artistic aesthetics.
About This Project
Shared Aesthetic is a cross-media discovery web application that bridges Books, Movies, and Games using shared artistic 'vibes'. By leveraging vector embeddings (PostgreSQL) and semantic analysis (Gemini AI), the platform finds hidden connections between different media types, allowing users to find a movie that feels like their favorite book or a game that matches a specific aesthetic.
Key Features
Vector Search
PostgreSQL (pgvector) implementation for deep semantic and aesthetic similarity mapping.
Multimodal AI
Gemini AI integration for content analysis and 'vibe' extraction across different media formats.
Cross-Media Discovery
Unique engine bridging Books, Movies, and Games based on artistic identity.
Production-Ready Stack
Built with Node.js, Express, and Prisma for a robust, production-ready architecture.
Project Gallery
Select Movies, TV Shows, Games and Books to create your aesthetic
Get Recommendations
Save collections of aesthetics you just can not get enough of
Project Information
Website