Food Recoginition and Calorie Estimation using Machine Learning

Author(s)	Mr. Niranjit Ranjan Sarma, Ms. Nisarga S, Mr. Prashanth R, Ms. Ruzaina Iram, Prof. Dr. Sheethal Aji Mani
Country	India
Abstract	The increasing need for health awareness and lifestyle management has increased demand for advanced dietary tracking solutions. This project, titled "Food Recognition and Calorie Estimation Using Machine Learning," presents an innovative AI-driven system designed to assist users in achieving personalized health and fitness goals. The system integrates food recognition through image processing and machine learning algorithms to automatically identify food items and provide precise calorie counts. Using deep learning techniques, the platform can assess dietary intake and recommend customized meal plans tailored to individual dietary preferences, health conditions, and fitness objectives. By incorporating a tracking system, the project enables users to monitor their daily intake, track nutritional progress, and adjust goals based on real-time data insights.
Keywords	Calorie Estimation, YOLO Algorithm, BMI Calculator, Health Monitoring.
Field	Engineering
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-12-11

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