AI-Based Food Image Classification and Calorie Estimation System Using Deep Learning

Author

Dr. C.VENISHRAJA, M. Pavithra


Abstract

 Food plays an important role in maintaining a healthy lifestyle, but many people find it difficult to identify the nutritional value and calorie content of the food they consume. Traditional calorie estimation methods require manual entry of food items and portion information, which can be time-consuming and may lead to inaccurate results. This research proposes an AI-based Food Image Classification and Calorie Estimation System using Deep Learning. The proposed system accepts a food image as input and uses a deep learning model to identify the food item. After classification, the system estimates the approximate calorie value based on the identified food category and nutritional information stored in a database. Image preprocessing, feature extraction, food classification, and calorie estimation are performed as major stages of the proposed system. The system aims to provide a simple and automated approach for understanding food information from images and can be useful for dietary monitoring, nutrition awareness, and healthrelated applications. 



Keywords

Artificial Intelligence, Deep Learning, Food Image Classification, Calorie Estimation, Image Processing, Convolutional Neural Network, Nutrition Analysis.



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References


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