CalorieInsight: A Personalized Dietary Management System Using AI

Authors

  • Burre Ramya PG Scholar, Dept. of CSE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India Author
  • Doddapaneni V. Subbarao Associate professor, Dept. of CSE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0344

Keywords:

Calorie Estimation, Dietary Recommendation, Food Recognition, Nutritional Tracking

Abstract

This paper presents CalorieInsight, an AI-driven system for automated food calorie estimation and personalized dietary management. Leveraging YOLOv8, a real-time object detection algorithm, the system accurately identifies and quantifies multiple food items from single image inputs, achieving a food recognition accuracy of 99.7%. This surpasses the 95.21% accuracy [1] reported in prior work utilizing convolutional neural networks. An adaptive recommendation engine, employing a decision tree algorithm, generates personalized meal plans based on user-specific dietary preferences, health goals, and activity levels. A tracking module facilitates continuous monitoring of nutritional intake, enabling real-time goal adjustments. The system integrates portion estimation, nutritional API data, and user feedback to provide comprehensive dietary insights. Preliminary evaluations demonstrate CalorieInsight 's potential to significantly enhance personalized nutrition through intelligent food analysis and adaptive dietary planning.

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Published

2025-05-20

How to Cite

CalorieInsight: A Personalized Dietary Management System Using AI. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(05), 2326-2331. https://doi.org/10.47392/IRJAEH.2025.0344

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