The main concept behind this project is to fulfill the user requirements with utmost ease so that the user gains enthusiasm to lead a healthy lifestyle. Many papers and projects related to balanced diet or healthy lifestyle faced the drawbacks and has given less importance to few features which is considered as an important factor for this current lifestyle. On this consideration, this project includes the most important features.
Firstly, consumed nutrition summary that will provide an idea to the user for the future diet.
Secondly, missing nutrient factor is one important provision to the user that will suggest and give an outline on nutrients to be included.
Thirdly, this nutri calculator will provide the compensation for that missed nutrient for the day which will motivate the user not to miss out or get skipped from the balanced diet. To be clearer, if the protein content is consumed in less amount by the user for one particular day, a suggestion of having an egg will be shown. The immediate suggestions rather than a nutritionist highlight its difference.

Proposed System: It contains the phases of SDLC (Software Development Life Cycle). The website is developed using the frontend and backend technologies. Also, the project employs image segmentation to detect the food's contour in the photographs that are uploaded and use deep learning techniques to recognize the sorts of food. The calorie content of each food is determined by the density and nutrition tables. Faster Region-based Convolutional Neural Networks (Faster R-CNN) is used to recognize objects and GrabCut as segmentation techniques to achieve better results.