A Python-based machine learning system for predicting multiple diseases using patient data and providing personalized health recommendations. Utilizes Scikit-learn, Pandas, and Flask to deliver accurate predictions and user-friendly web-based interactions.
An AI-powered food recommendation system that suggests food items based on user preferences and search queries using intelligent recommendation algorithms. The project demonstrates how machine learning models, backend APIs, and modern frontend technologies can be integrated to build an interactive food discovery platform.
The Health Care Center Application is a web-based tool that helps users identify diseases based on their symptoms and provides detailed information and recommendations.
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