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Prompt Engineering for Generating Notifications: The data gathered from physical activities, screen time, and goal tracking will be used for prompt engineering. Using the LLama model, personalized prompts will be created, which will serve as motivational notifications, helping users stay aligned with their goals. Weāll use techniques such as reward-based messaging and habit-building prompts. Backend with Node.js and Express: A Node.js and Express backend will handle the logic for storing user goals, activities, and other app-related data. It will also manage requests to the LLM for content generation. This will be coupled with a database (e.g., MongoDB or PostgreSQL) to keep user information and goal progression organized.
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