A MACHINE LEARNING APPROACH TO FOOD IMAGE RECOGNITION AND CALORIE ESTIMATION

Mamatha Devi M, Chethankumar D, Rameshwari G, Ajay Kumar A, Ritesh Vardhan B

Abstract


The project addresses the growing need for health awareness and lifestyle management through smart dietary tracking. It proposes an AI-driven system to help users achieve personalized health and fitness goals. The system uses image processing and machine learning algorithms to automatically recognize food items and calculate accurate calorie values. Deep learning techniques are applied to analyze dietary intake and provide personalized meal recommendations based on the user's health goals, preferences, and medical conditions.  An integrated tracking system enables users to:

1. Monitor daily food intake

2. Track nutritional progress over time

3. Adjust dietary goals using real-time insights

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