AI Chatbots for Personalized Sustainable Nutrition: Bridging Technology, Engagement, and Ethics

Authors

  • Hanh Ngo Minh Truong

    Department of ICT Innovation Lab, Fontys University of Applied Sciences, 5651 GW Eindhoven, The Netherlands
  • Andrii Kolodiazhnyi

    Department of ICT Innovation Lab, Fontys University of Applied Sciences, 5651 GW Eindhoven, The Netherlands
  • Serhii Sokyrko

    Department of ICT Innovation Lab, Fontys University of Applied Sciences, 5651 GW Eindhoven, The Netherlands
  • Priyanka Darbari

    Department of ICT Innovation Lab, Fontys University of Applied Sciences, 5651 GW Eindhoven, The Netherlands

DOI:

https://doi.org/10.30564/fls.v7i11.10799
Received: 29 June 2025 | Revised: 16 September 2025 | Accepted: 19 September 2025 | Published Online: 24 October 2025

Abstract

Sustainable food development is crucial for minimizing environmental impacts and ensuring the capacity to provide sufficient food for both present and future generations. Many eco-friendly production methods have been adopted world-wide, including organic farming, regenerative agriculture, and plant-based alternatives, aimed at reducing greenhouse gas emissions, conserving water and soil resources, and promoting biodiversity. However, despite this development in sustainable production, consumer awareness and adoption of sustainable food choices remain limited, preventing full environmental and health impacts of these practices from being realized. This paper represents the design of an AI-powered chatbot, offering nutrition guidance, promoting sustainable and healthy daily food choices, while also addressing ethical considerations such as user privacy, fairness, and transparency in its design. The chatbot integrates artificial intelligence and large language models, adapted with domain-specific data on nutrition and sustainability, to engage users in conversations about healthy eating, food waste reduction, and eco-friendly diets. Its design combines a user-friendly interface, a curated knowledge base, and personalized recommendations informed by user preferences. Early evaluations suggest that the system can increase awareness and encourage more sustainable food choices. Ethical aspects such as privacy, transparency, and fairness are embedded in its development to promote responsible use of AI. Future enhancements may include integrating image-based calorie estimation to provide personalized nutritional feedback alongside sustainability guidance.

Keywords:

Sustainable Food Development; Food Sustainability; Future Food Value; Digital Transformation; AI Chatbot

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How to Cite

Minh Truong, H. N., Kolodiazhnyi, A., Sokyrko, S., & Darbari, P. (2025). AI Chatbots for Personalized Sustainable Nutrition: Bridging Technology, Engagement, and Ethics. Forum for Linguistic Studies, 7(11), 1135–1156. https://doi.org/10.30564/fls.v7i11.10799

Issue

Vol. 7 , Iss. 11 (November 2025)

Article Type

Article

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Copyright © 2025 Hanh Ngo Minh Truong, Andrii Kolodiazhnyi, Serhii Sokyrko, Priyanka Darbari

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.