Show HN: Wardrowbe – I kept staring at a full closet with nothing to wear (github.com)

Wardrowbe has emerged as an innovative self-hosted wardrobe management system that integrates AI to streamline outfit selection. Users can take photos of their clothing, with the platform's AI automatically tagging items and providing daily outfit recommendations tailored to weather conditions and personal preferences. The application’s capabilities extend beyond individual use, allowing management of multiple wardrobes for household members and offering features like wear tracking, analytics on clothing usage, and notifications for outfit suggestions. This development is significant for the AI/ML community as it demonstrates the versatility of AI in personalizing everyday tasks, showcasing the integration of advanced image analysis and natural language processing in a user-friendly format. Wardrowbe can leverage various AI services, such as OpenAI and Ollama, making it adaptable for different user needs. Its self-hosted nature ensures user data remains secure and private, appealing to privacy-conscious users while still providing powerful analytics and recommendations powered by AI. With the system fully operational on systems like Raspberry Pi 5, it represents a practical application of AI in enhancing daily life through technology.