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GUI app to manage imagery from a (bird) feeder camera, including species classification, sorting images into folders and export to Observation.org-compatible CSV. Processing is fully local, but the app allows uploading manual labels and automatically checks for updates.
Scraping all MCP servers and classifying them using LLMS. Data analysis tool combining web scraping, GitHub API integration, and LLM-powered classification for MCP ecosystem analysis.
Intelligent GitHub issue classification system using event-driven microservices, AI integration, and real-time WebSocket updates. Built with FastAPI, React 19, PostgreSQL+pgvector, and Kafka.