OutBound AI open-source app uses local LLM to recommend offline activities

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A developer has created an open-source application called OutBound AI, designed to reduce screen time by recommending real-world activities. The app uses a local, offline large language model to generate tailored outdoor plans based on a user's time, mood, and energy. Its architecture separates the application logic from the AI layer, allowing the underlying model to be easily updated. The project was built using open-source models to avoid proprietary APIs and maintain data privacy and developer control. It was developed with the help of an AI pair-programmer and entered in a Hacktoberfest open-source AI challenge.

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