Birds.Quest: An Automated Bird-Watching Blogging Assistant

Birds.Quest is an open-source project designed to automate bird-watching journals by integrating GPS tracking with AI-driven content generation. The system uses the Traccar platform to record walking routes, which are then processed by the BirdNET GeoModel to predict likely bird sightings based on location and season. A privacy-first architecture ensures that raw coordinate data never reaches the LLM or the public blog. Instead, the system generates descriptive, nature-inspired posts using Google's Gemma 4 model, which are then reviewed by the user. The entire stack, including the database, web application, and inference services, is deployed on a single DigitalOcean droplet. The developer utilized GitHub Copilot's agent mode to manage the project's lifecycle, from initial specification to implementation, ensuring a structured and secure development process. The project is available on GitHub for those looking to build their own automated, privacy-conscious nature blogging tools.