eng Enviro Research Publishers Current Research in Nutrition and Food Science Journal 2347-467X 2322-0007 2025-11-20 13 3 1307 1319 10.12944/CRNFSJ.13.3.21 24401 article Priya Kolappalur Mariappan 1 Meenakshi 2 Pushpalatha Gurappa 3 Department of Commerce and Management Studies, Dayananda Sagar University, Bangalore, India. Department of Psychology, Magadh University, Bodh Gaya, India. Department of Psychology, REVA University, Bangalore, India. This conceptual paper explores the integration of artificial intelligence (AI) and quick response (QR) codes into nutrition labeling systems to address consumer concerns about food nutrition and the limitations of traditional labels. It highlights how AI-enabled QR codes can provide personalized, real-time nutritional information, offering an interactive and tailored consumer experience. The study emphasizes the potential of these technologies to improve accessibility, accuracy, and relevance of information, promoting healthier dietary behaviors. It also discusses challenges such as data privacy and user acceptance while underscoring the transformative potential of AI and QR codes in creating a more health-conscious and informed society. https://www.foodandnutritionjournal.org/volume13number3/artificial-intelligence-enabled-qr-codes-in-nutrition-labelling-a-conceptual-paper/ Artificial Intelligence Consumer Health Emerging Technology Information Systems Nutrition Labeling QR Codes.