While the United Nations' 2030 Agenda for Sustainable Development calls for universal action, contemporary sustainability applications remain predominantly focused on environmental metrics, specifically carbon footprint tracking. This paper introduces \\\"SDG Buddy,\\\" a novel framework designed to track, quantify, and gamify individual actions across the full spectrum of the 17 Sustainable Development Goals (SDGs). By integrating Large Language Models (LLMs) for natural language action processing and Life Cycle Assessment (LCA) principles for impact scoring, the proposed system bridges the gap between vague intentions and measurable global impact. We detail a cloud-native, serverless architecture that ensures scalability and resilience, addressing the technical and financial pitfalls of previous sustainability tracking initiatives.
Kakani et al. (Thu,) studied this question.