Food is an important part of human life and we must keep track of dietary details before consuming them. It is necessary to know what sort of food we are consuming and have an idea about the content present in it. This paper majorly focuses on the idea behind the project, methodology, results and conclusions thus obtained. The basic aim of the project is to detect single or multiple foods from an image using a faster RCNN algorithm and to provide a detailed report about the dietary details present in it. This would provide a comprehensive understanding of a healthy diet and direct their daily recipe to enhance well-being. It would help people to know their consumption and make changes in their lifestyle using the given report to ensure they are going on the healthy track. It also saves us the doctors’ consultancy fee and reduces the gym fee since eating healthy can definitely enhance their health conditions.