This project is a serverless photo gallery that uses React for the frontend and is fully hosted on AWS. Its core function is AI image analysis: uploaded photos are automatically analyzed by AWS Rekognition to generate smart, detailed tags.

A Python script for automating media upload and AI auto-tagging for Szurubooru image boards.

A simple, universal system that labels ai responses so anyone can instantly tell what the output is and how it’s meant to be used.

A smart desktop organization app that auto-tags and sorts your files using optional AI-powered metadata. Features undo support, database tracking, customizable rules, and a simple GUI.

A Python tool that auto-generates captions and keyword tags for JPG/PNG images using a local vision-language model like BakLLaVA. Captions and tags are embedded into EXIF metadata (Title + Tags) for native Windows Explorer visibility. Includes batch processing and GUI folder selection.