9/7/2023
The project consists of two parts:-
1. Food Detection using with Calorie Calculator: The app uses computer vision algorithms to detect and recognize different nutrients in photos or videos. Using a deep learning model (YOLO), to classify different food categories. Once you select the nutrients, the Calorie Calculator will use your pre-selected calorie dataset to estimate the calorie content of each food item. The total calorie intake for a meal or day can be calculated by adding up the calorie values of the detected nutrients.
2.Machine Learning Techniques for Classification and Recognition of Yoga Poses: A deep learning model, MoveNet + Tensorflow, was trained on a dataset of labeled yoga pose images to accurately classify different yoga poses. The app can provide real-time feedback on posture correctness by analyzing the user's body alignment and comparing it to the reference posture.
