Thesis Abstract

This project aims to develop a recommendation system for personalized healthcare that leverages machine learning and data analytics to provide tailored health recommendations to individuals. The system will analyze diverse healthcare data, including medical history, lifestyle factors, genetic information, and environmental data, to generate personalized recommendations for disease prevention, treatment plans, and wellness strategies. The project will address the challenges of personalized healthcare recommendations, such as data integration, privacy, and accuracy, by designing and implementing a robust and user-centric recommendation system

Thesis Overview