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Publication: IIP Proceedings Year: 2022, Month: November Page No: 27-32, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023B7FEA7D979377B9.pdf
FOOD RECOGNITION AND CALORIE ESTIMATION
Area/Stream: Artificial Intelligence, Authors: Alakananda. K , Ayaan Imthiyaz, Mohammed Hisham Jaleel, Dhwanil Rokad, Zuhaib Mohammed Khan Keywords: Feature Extraction Convolutional Neural Network Classification, Food recognition, Calorie estimation, classification, features. Book Name /series: Futuristic Trends in Artificial Intelligence,Volume 2, Book 16, Chapter 3Publication: IIP Proceedings Year: 2022, Month: November Page No: 27-32, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023B7FEA7D979377B9.pdf
Abstract:
An unhealthy diet may contribute to obesity, which can lead to a variety of health issues including heart disease and high blood pressure. Certain malignancies can also be a result of obesity. The suggested method uses Convolution neural networks to recognize food images and calculate the calorie content based on the food's weight. This allows the user to keep track of their calorie consumption. Images belonging to 20 different classes have been used to train the model. People may benefit from the suggested system's ability to assist them maintain a healthy diet and lifestyle.
Cite this: Alakananda. K , Ayaan Imthiyaz, Mohammed Hisham Jaleel, Dhwanil Rokad, Zuhaib Mohammed Khan,"FOOD RECOGNITION AND CALORIE ESTIMATION", Futuristic Trends in Artificial Intelligence,Volume 2, Book 16, Chapter 3, November, 2022, 27-32, 978-93-95632-70-6, https://rsquarel.org/assets/docupload/rsl2023B7FEA7D979377B9.pdf
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