Weight Loss Recommendation System

In the modern days, overweight and obesity are growing fast around the world due to urban growth and shifting lifestyles, eating habits have changed towards unhealthy food, which can lead to overweight and associated health problems. Our food recommendation system is designed to assist users in discovering food that aligns with daily calorie goals. This research study aimed to develop a personalized food recommendation system helping users effectively manage their weight. The study is performed by two different methods. Collaborative filtering finds similar patterns or information of ratings on food items from individual users. Content-based uses similarities in food item that user preferred to make. Both recommendation methods are calculated based on user's calorie needs per day, exercise behavior, and user's most recent meal which users can enter through a user-friendly web-based application.