Interactive Health and Nutrition App
Aileen Akpalu
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Posted Nov 16, 2024
Aileen developed a user-friendly health app, integrating machine learning for personalized nutrition plans, showcasing her full-stack development skills.
For my master's dissertation, I am developing a hybrid recommender system for personalized meal planning, focusing on Ghanaian nutrition. The system combines content-based, rule-based, and deep learning approaches to curate meal plans tailored to users' TDEE, dietary restrictions, and health goals.
Technologies I am using:
Django for building the backend and handling user data.
Python and TensorFlow to implement machine learning models for recommendations.
PostgreSQL for managing data.
Django REST Framework for API development.
ReactJS to create an interactive user interface.
This system integrates real-time user data with machine learning algorithms to provide personalized meal suggestions that ensure nutritional balance while considering health and dietary preferences. By combining traditional methods with AI, I am able to offer flexible and accurate meal recommendations.