Life Expectancy Prediction And Diet Recommendation System for Cardiovascular and Diabetes Disease Using Machine Learning

In the current era, people face many health issues and diseases due to inadequate and inappropriate food intake. People rely on medicine rather than having a proper dietary plan due to a lack of concise information on a proper diet. The diverse options in food components and people’s preferences with underlying health conditions make it difficult to perform real-time nutrition selection that fulfills a proper dietary plan. This problem is addressed through the implementation of a machine learning algorithm that effectively detects diseases and calculates life expectancy, enabling the formulation of suitable diet plans to mitigate their impact. The proposed work focuses on two common diseases: Diabetes and Cardiovascular Disease (CVD).A supervised classification algorithm has been used for predicting diseases and an unsupervised clustering algorithm has been used for diet recommendation. The objective is to facilitate convenient disease prediction at home and offer personalized, healthy diet recommendations. By motivating users to adopt a healthy lifestyle, the proposed work aims to prevent or reduce the influence of diseases.