Nowadays if you are suffering from any chronic disease you not only need a good medication but also a proper diet. Most people do not have time to visit a dietitian which also sometimes takes a long time to cure. Recommendation systems are nothing but predicting what product a user can buy. Here we mainly focus on Hybrid filtering. Using the above-mentioned technique we use the personal information of the user such as age, height, weight, type of diet, nutrients, and any disease they are dealing with, we are going to find the similarity between the users and going to recommend kind of food items they need to include in their diet using KNN algorithm. We can use this recommendation process to personalize the content for the user such as food and tell them what to eat specifically according to their interests, and if there is no availability of food items we can also order those food items in which their purchase history is also stored in their profile. In this way, one can take care of oneself without going to any particular dietitian and thus save money and time. This project is mainly concerned with building a recommendation system for providing meals depending on their health conditions using machine learning algorithm

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