AI Nudges for Healthy Eating and Sustainable Behavioral Change

Nudge4Good aims to create a responsible, scalable framework that combines LLM-based personalization, explainable AI, and data-driven nudging strategies for food and restaurant recommendation systems. The development work integrates partner and research datasets, including behavioral, nutritional, and environmental data, to build models that can deliver context-aware recommendations and transparent justifications for healthier and more sustainable choices. A central goal is to move beyond conventional recommendation engines by embedding behavioral science directly into AI design, enabling systems that do not only predict preferences but also guide decision-making in ethically grounded ways. Through prototyping, co-design with industry partners, and pilot testing with users, the project seeks to validate both scientific novelty and business relevance, laying the foundation for export-ready solutions for digital health, food retail, and platform services.