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Fruit Calorie Estimation with CNN by Yashwant is a document available to read on EtoBox.

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This document describes a student project to develop a system for fruit detection and calorie estimation using convolutional neural networks (CNNs). The project aims to classify different types of fruits in images and estimate their calorie content to help with dietary tracking and health monitoring. The system will use CNNs for fruit detection and classification based on visual characteristics extracted from images. The methodology chapter will cover the existing approaches, proposed architecture including

Author
Yashwant
Language
EN