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AI-Powered Personalization in Smart Kitchens Adaptive Cooking Systems for Health, Taste, and Sustainability
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Author(s): Ramadevi Vitthal Salunkhe (G.H. Raisoni College of Engineering, Nagpur, India), Sanket Ashok Joshi (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Pranoti Damodhar Mane (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Tejal Irkhede (St. Vincent Pallotti College of Engineering and Technology, Nagpur, India), Kaveri Samir Deosarkar (Indian Institute of Information Technology, Nagpur, India)and Iram Nausheen (Anjuman College of Engineering and Technology, Nagpur, India)
Copyright: 2026
Pages: 48
Source title:
AI and the Future of Smart Cooking
Source Author(s)/Editor(s): Ankit Shukla (Rajamangala University of Technology, Thanyaburi, Thailand), Nagendra Yadav (Welcomgroup Graduate School of Hotel Administration, Manipal Academy of Higher Education, Manipal, India), Partho Pratim Seal (Manipal Academy of Higher Education, India)and Abhishek Tiwari (Burapha University International College, Thailand)
DOI: 10.4018/979-8-3373-4042-5.ch009
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Abstract
The increasing demand for personalized dietary experiences and sustainable living has led to the emergence of smart kitchens enhanced with artificial intelligence (AI). This chapter explores the integration of AI and data analytics in creating adaptive cooking systems that cater to individual health profiles, flavor preferences, and ecological concerns. We present an in-depth analysis of the technologies enabling real-time decision-making in meal planning and preparation, including machine learning, natural language processing, and computer vision. Emphasis is placed on how such systems balance nutrition, taste, and environmental sustainability. Through case studies and practical frameworks, this chapter proposes future-ready solutions for AI-powered culinary personalization.
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