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Prabhat Todi

Stealth • 3m

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Prabhat Todi

Stealth • 3m

React Native for App Development: We will use React Native to build a cross-platform mobile app where users can input their goals. The app will feature forms for users to select and define different types of goals (e.g., educational, professional, health, or daily activities). These goals will be stored in a cloud database (e.g., Firebase, PostgreSQL), allowing the app to track and analyze progress. LLama Model for Content Generation: We will build a Retrieval-Augmented Generation (RAG) pipeline using the LLama model. A multi-retriever setup will be employed to fetch the most relevant data, and a query-based reordering mechanism will enhance the content relevance. LangChain will be used to integrate these retrievers, enabling the app to generate personalized notifications and insights based on user activities and goals.

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Prabhat Todi

Stealth • 3m

Fitness API for Tracking Physical Activities: To track the user's physical activities, we can integrate popular fitness APIs like Google Fit or Apple Health. These APIs will gather data like step count, workout duration, and other health metrics, which the app will analyze to monitor fitness goals. This data will be stored in the app’s database, feeding into the content generation model for personalized recommendations. Screen Time Tracking with Native Mobile Features: For tracking screen time and identifying usage of unproductive apps, we can use native mobile features such as Screen Time (iOS) or Digital Wellbeing (Android). By capturing app usage data, we can analyze patterns of unproductive behavior and provide users with customized suggestions for improving their habits.

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