A Nutrition-Based Smart Recipe Recommender For Healthy Living

In these modern days, people all around the world are becoming more conscious about their health and lifestyle. Just doing some exercise or eating less food is not sufficient to maintain good health. Dietary ailments are increasing dramatically as a result of unhealthy food routines. Due to these unhealthy food routines, many can come across various kinds of diseases like malnutrition, overweight, metabolic disorders, mental problems, and other medical-related risk factors, such as cardiovascular disease and in the worst case, cancer. To live a healthy lifestyle, one has to maintain a balanced diet. A balanced diet provides an individual with a sufficient amount of nutrients. This balanced diet also will help you to maintain and reach a proper weight and it also reduces the risk of chronic diseases. The number of choices is overwhelming on the internet. To deal with the problem of information overload, one has to filter, prioritize, and must efficiently deliver relevant information. This problem can be solved by recommender systems. Recommender systems provide users with personalized content and services by searching a large volume of information that is generated dynamically. Thus, a proposed system provides a nutrition-based smart recipe recommender for an individual based on user preferences and by considering some physical aspects to lead a healthy life.