One of the most difficult aspects of obesity therapy is determining how much food obese individuals consume on a daily basis. A computer vision-based approach is used in this study to estimate calorie consumption from food photographs. Propose a Food Recognition System (FRS) for the calculation of calories and nutrient values. The system next analyses and categorises the photos to determine the type of food and portion size, and then uses that information to calculate the calories in the food. In today's food identification applications, emerging food categorization methods are critical. A new food recognition algorithm is provided for this purpose, taking into account the shape, colour, size, and texture features of the item. A better classification will be attained by using various combinations of these features. Dietitians can use this food calorie and nutrition assessment method to track and control their daily food intake. The texture, shape, and size properties of the food image are then retrieved using the CNN. The better the classification, the more accurately the calories of the food may be estimated..

In Shot Blasting machine various hangers are used during shot blasting processes as per component size & Types, in this work we worked out to increase production rate in current industry. For this it is required to increase hanger capacity for the various castings produced in the current industry. The shot blasting machine in foundry is 300 kg. The current hanger capacity of shot blasting machine is 16 castings. Thus to increase hanger capacity of castings its required to modify the hanger such a way that its capacity is maximum up to 300Kg of short blasting machine. With the study of shot blasting machine and its hanger we should have to design new hanger as per capacity of machine. This work contains modification of current hanger, design of modified hanger, stress analysis by analytically and by using Ansys Software. Also in this work efficient and reliable design of hanger is find out.