Survey on Customized Diet Assisted System based on Food Recognition

Across the world, people are growing more dietary sensitive today. An unbalanced diet can result in a variety of issues, including weight gain, obesity, diabetes, etc. As a result, many techniques were created to analyse images of food and determine factors like calories as well as nutrition content. One of the most essential needs of every living thing on earth is food. Humans demand that the food they eat be of standard quality, freshness, and purity. Food quality is taken care of by the standards set and automation implemented in the food processing business. The idea of using food as medicine has gained traction in recent years, in part due to doctors' and practitioners' increased understanding of the importance of including food in the treatment of chronic illnesses alongside drugs. Food measurement is crucial for a good healthy diet. One of the difficult tasks in maintaining diet is calorie and nutritional content measurement in daily eating. In today's technology age, the smartphone exacerbates the problem with nutritional intake. The meal image recognition algorithm for calculating the nutritional and calorie values has been established in this survey analysis. The system classifies the meal once the user takes a picture of it to determine the type of food, the portion size, and the expected number of calories. This approach uses food area, size, and volume to accurately compute calories and nutrition. Due to the difficulty in achieving accuracy to classify food images, many images have been trained to attain high accuracy.