AI BASED FRUIT NUTRITION PREDICTION SYSTEM

In this paper, a web-based application for estimating fruit calories and improving individual’s utilization propensities for wellness is developed. We design an easy approach to the new deep convolutional neural network (CNN) configuration and built an application to recognize fruit images using a Tensor Flow Lite model trained on Teachable Machine. The tensor flow is one of the best process to classify the machine learning method. This method is implementing to calculate the food calorie with the help of a Convolutional Neural Network. However, deep learning has been widely used as an efficient image recognition method, and CNN models are built to evaluate its performance on image recognition and detection dataset. A convolutional neural network (CNN) is specifically used to complete the task of recognition of fruit. CNN framework is inspired by biological processes and includes alteration of multilayer preceptors that result in minimal amounts of preprocessing.