AI-Powered Food Recognition and Nutritional Analysis via Deep Learning

Authors

  • Annsil Tomy A Author
  • Amith Gigy IES college of Engineering Author
  • Alenstil T S Author
  • Vinu Jose T Author
  • Remya P C Author

Keywords:

Food Recognition, Artificial Intelligence, Image Processing, Machine Learning, Nutrition Analysis, Health Monitoring, Computer Vision

Abstract

People today are becoming more health-conscious and want to keep track of what they eat. However, many struggle because they don’t have the right tools to identify or analyze their food accurately. Manual tracking can be time-consuming and unreliable, making it hard to maintain a healthy diet. To solve this, we have proposed a new system using artificial intelligence and image recognition technology. This system will make food identification faster and more accurate. With AI-based food recognition, users can simply take a picture of their meal and get instant details such as food type and nutritional information. This helps people monitor their eating habits and make better health choices. Unfortunately, many users and organizations are still unaware of how this technology works or how it can benefit them in daily life.

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Published

2026-01-20

How to Cite

AI-Powered Food Recognition and Nutritional Analysis via Deep Learning. (2026). IES International Journal of Multidisciplinary Engineering Research, 2(1), 24-34. https://www.iescepublication.com/index.php/iesijmer/article/view/88

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