Hackathon project WalkQuest AI uses local AI to suggest outdoor activities

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WalkQuest AI is a project created for Hacktoberfest that generates personalized outdoor activity suggestions. The application uses the Gemma 3 1B model running locally via Ollama to create short quests based on user time, interests, and mood. It is built with Java and Spring Boot and features a browser-based frontend. Developers designed the tool to encourage screen breaks through activities like walking, gardening, and nature observation. The project emphasizes local AI inference for greater developer control and privacy compared to cloud-based services.

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