Assistant Professor of Food Sciences in Department of Food and Nutrition Shri Vaishnav Vidyapeeth Vishwavidyalaya Indore Madhya Pradesh India.

Abstract

Artificial intelligence applications in food and health sciences have grown in popularity in recent decades. The capabilities of artificial intelligence (AI) in medical diagnostics, risk prediction, and therapeutic approach assistance are quickly expanding. The development of dietary systems employing AI technology may result in the establishment of a global network capable of actively supporting and monitoring the personalised delivery of nutrients. This overview can serve as a starting point for brainstorming and developing to unimagined AI applications in food science and nutrition. Artificial intelligence is a subfield of computer science that aims to mimic mental processes, learning skills, and knowledge management. AI-based methods, such as picture recognition, may help improve dietary assessment by increasing efficiency and eliminating systematic and random mistakes in self-reported dietary intake assessments. In conclusion, AI-based approaches are likely to improve and expand nutrition research, as well as aid in the exploration of new applications. Different apps, such as food preferences, food segmentation, and dietary consumption, are thought to play an essential role in health promotion. Artificial intelligence applications are expected to aid in the enhancement of health as well as the assessment and monitoring of nutritional status.