AI - Powered Carbon Footprint Tracker
AI搭載カーボンフットプリントトラッカー (AI 翻訳)
Sonali R. Kanthe, Shruti A. Nikalje, Mahesh S. Hol, Shubham S. Bhiknar, Adarsh S. Gaikwad, Mrs. Pooja D. Sutar
🤖 gxceed AI 要約
日本語
本論文は、個人のカーボンフットプリントを測定・削減するためのAI搭載トラッカーを提案する。システムは計算機、グリーンチャットボット、AR可視化、レポート生成の4モジュールから構成され、日常活動の入力から標準排出係数に基づき排出量を推定する。実験ではAIガイダンスと可視化が持続可能な行動への意識向上に有効であることが示された。
English
This paper proposes an AI-powered carbon footprint tracker that helps individuals measure and reduce their environmental impact. The system integrates modules for carbon calculation, an AI-driven green chatbot, AR visualization, and report generation. Experimental results show that combining AI guidance with visualization significantly improves user awareness and engagement in sustainable practices.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では個人の脱炭素行動を促進するアプリが注目されており、本システムはAI・ARを用いた革新的なアプローチとして参考になる。ただし、日本の排出係数やライフスタイルへの適用には追加の調整が必要。
In the global GX context
Individual carbon footprint tracking is a growing trend globally, and this paper demonstrates how AI and AR can enhance user engagement. While the system is generic, it offers insights for developing user-centric climate action tools.
👥 読者別の含意
🔬研究者:This paper provides a system architecture for AI-driven personal carbon tracking, which can be a reference for HCI and sustainability research.
🏢実務担当者:Product developers can learn how to combine AI chatbot and AR for user engagement in sustainability apps.
📄 Abstract（原文）
Climate change and global warming have become major environmental challenges due to increasing carbon emissions from daily human activities. Monitoring and reducing individual carbon footprints is an important step toward environmental sustainability. This paper proposes an AI Powered Carbon Footprint Tracker, a smart system designed to help individuals measure, understand and reduce their environmental impact. The proposed system integrates four major modules: a carbon footprint calculator, an AI-driven Green Chatbot, Augmented Reality (AR) visualization and a downloadable report generation system. Users can enter information related to daily activities such as electricity consumption, transportation usage and product consumption. The system calculates the estimated carbon emissions using standard emission factors. Additionally, the AR visualization module allows users to interactively understand the environmental impact of their activities, making the information more engaging and easier to interpret. Experimental observations indicate that integrating AI guidance with visualization significantly improves user awareness and engagement in sustainable practices. The proposed system demonstrates how intelligent technologies can support environmental responsibility and promote sustainable living.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.47392/irjaeh.2026.0584first seen 2026-06-26 05:11:41
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。