[KongchangAI]
Product

OutsideQuest

An open-source AI outdoor quest generation application built with Python, Streamlit, Ollama, and Qwen2.5 3B. It uses local inference to generate actionable outdoor exploration tasks for users, encouraging reduced screen time.

Timeline (last 90 days)

Oct 11

Developer Shrey submitted a project called OutsideQuest under the first week's "Touch Grass" theme of the Hacktoberfest open-source AI challenge.

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Oct 11

OutsideQuest generates outdoor quests that include steps, estimated time, and safety tips based on the user's input of available free time and areas of interest.

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Oct 11

OutsideQuest is built on Python, Streamlit, Ollama + Qwen2.5 3B, safety validation with fallback tasks, and Render deployment.

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Oct 11

The local version of OutsideQuest relies on Ollama and the Qwen2.5 3B model to generate tasks in real time, while the public demo deployed on Render uses a built-in task library.

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Oct 11

The public demo version of OutsideQuest disables the storage of personal progress and reflection records, reserving those features for local use.

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Oct 11

OutsideQuest competed for the "Best Use of Render" award in the Hacktoberfest challenge.

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Oct 11

The online demo of OutsideQuest is accessible at outsidequest.onrender.com, and the source code is hosted in the GitHub repository shrey04kaitke-sys/OutsideQuest.

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