CalorieWise: Deep Learning for Food Image Analysis and Calorie Estimation
Keywords:
Life Style-Health-Tightly packed schedule-Healthy meal- Calorie Count of food- Deep learning- Convolution Neural Network (CNN).Abstract
In today's fast-paced and work-centric lifestyle, maintaining good health has become a significant concern. People often struggle to find time for themselves, leading to an increasing reliance on quick and convenient meals. As a consequence, keeping track of calorie intake has become a challenging task. To address this issue, our Paper focuses on using deep learning techniques to calculate the approximate calorie count of a food item from an input image. The core of this Paper is a Convolutional Neural Network (CNN) that identifies the food item present in the input image. Once the food is recognized, the system automatically calculates the number of calories associated with that particular item.
This innovative system is particularly beneficial for individuals who aim to follow a strict and healthy diet. By accurately tracking their calorie intake, they can stay on top of their nutritional goals and maintain their fitness effectively. With this solution, people can make informed food choices, even amidst their busy schedules, promoting a healthier lifestyle overall.
