Catalogatore AI di immagini fotografiche · Compatibile con Lightroom — Tag automatici, Metadata e Ricerca Semantica (Offline, Multilingua) · AI Photo Catalog for Lightroom — Automatic Tagging, Metadata & Semantic Search — Fully Offline

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

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 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 Node.js backend service for logging chat sessions with automated AI-powered NLP tagging (sentiment, mood, and topics) using the Google Gemini API.

A Go-powered music streaming backend with JWT auth, playlist management, async AI tag generation, and semantic song search using PostgreSQL plus vector search.

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.

Electron desktop app for GPX photo geotagging, map tagging and AI metadata generation (Ollama) written directly into image files.

A self-hostable, open-source platform for discovering useful tools, libraries, apps, and learning resources. Focused on GitHub and trusted open-source sources, with local AI for summarization, tagging, and classification.

Blender-style Asset Browser plugin for Unreal Engine 5.3+

🎨 Y2K 复古风图床 · AI 智能打标 · 现代化架构 | Retro-styled image hosting with AI auto-tagging

Enterprise-grade cloud picture platform based on Spring Boot 4 + Java 21, featuring JWT auth, RBAC, multi-tenant team spaces, content moderation, AI-assisted tagging, real-time collaboration via STOMP/WebSocket, perceptual hash deduplication, and pluggable COS/local storage with two-level Caffeine + Redis cache.

A management system to improve working with a lot of media files