Calorific Value Estimation and Cuisine Recommendation using Neural Networks

In this modern era, people are more interested in having good health and lifestyle. There are many factors that influence health, such as exercise, sleep, nutrition, pollution, etc. Due to the availability of a variety of food options, people tend to consume more food than the body needs. So, people take in more calories than required by the body (required calories: 2000- 3000 Cal per day). This leads to weight gain(Obesity), which further makes them vulnerable to chronic diseases(heart diseases and cancer). So, from this, we can say that people are unaware of the number of calories they consume. So, the proposed system can recognize the food item by using a mobile camera and can give calorific value estimation and nutritional Values of the specific food item, and it also recommends other food items with a lower calorific value similar to the given food item using a Convolutional neural network and K-means Clustering Algorithm. By, this you can keep track of your calorie intake regularly.