Journal of Advances in Developmental Research

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Volume 17 Issue 1
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Online Food Calorie Prediction using Django Frame Work

Author(s) Santhosh R, S. Mari Subbulakshmi.
Country India
Abstract The daily food intake and calorie intake consumed should be monitored so that they are taken in a healthy manner. Nevertheless, not all people can give attention to their nutrition because of the lack of time and desire to know the number of calories a piece of food has. The paper outlines a Web-based project about calories prediction in food relative to Django and Python programming language. The specified system will allow a user to identify the food items and learn the approximate caloric value with the help of the interaction with the interactive web interface. The system also holds the information on food and external nutrition API, which will be utilized to derive and determine the calorie information of the different varieties of food. Through the application, the user will be in a position to key in certain food items and view the value of calories and other nutritional contents. The system is also capable of giving the graphical view of the calories intake by the users. The specified solution will provide an effective and convenient platform of tracking the dietary intake, with the help of web technologies and data-driven solutions. It will help the population make the right choice regarding food and follow the balanced nutrition and, thus, increase the regulation of health and lifestyle awareness.
Keywords Food Recognition, Calorie Prediction, Django Framework, Nutrition Analysis, Machine Learning.
Field Computer
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-06-02
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