Overweight is a serious problem in Peru, and compliance with a healthy and balanced diet is essential for its management. Despite the existence of different types of diets and meal plans, people still find it difficult to comply with the treatment. Also, lack of access to adequate nutritional information and lack of follow-up in implementing a low-calorie diet can demotivate people and reduce the effectiveness of the process. To reduce this problem, a mobile application is presented that allows the control of the caloric intake of food, based on food suggestions using Machine Learning. For this purpose, the Support Vector Machine algorithm is applied to train a model that recommends personalized food to users according to their preferences. This is how the application allows users to easily access personalized food recommendations by analyzing their preferences and caloric needs individu...