| _version_ | 1866901987657777152 |
|---|---|
| author | Monika Yadav, Dolly Mauraya, Risha Ritika, Deepanshi Nigam, Neha Kulshreshtha |
| author_facet | Monika Yadav, Dolly Mauraya, Risha Ritika, Deepanshi Nigam, Neha Kulshreshtha |
| contents | <p>Keeping an eye on our carbon footprints is important if we want to tackle climate change effectively. Traditional methods for<br>tracking carbon emissions often fall short. They just don’t grab people’s attention or keep them engaged. So, this paper dives<br>into a new approach: a fun and user-friendly system for monitoring carbon footprints, featuring a chatbot interface. Yes,<br>chatbots, these nifty tools can help folks track and cut down on their emissions, thanks to some cool artificial intelligence (AI).<br>With machine learning at play, users can get real-time insights, personalized feedback, and even automated analysis of their data. It’s all about using chatbot technology to encourage more sustainable behaviours. The developed study is an evolution of current behavioral intervention frameworks and carbon assessment methodologies. components of the proposed system are One-On-One conversations, AI recommendations, and real-time tracking of user data about lifestyle choices concerning energy, transport, and food. The chatbot-based tracking increases awareness about the carbon footprint and further encourages physical activity levels, as the study concludes. Retention, as well as a more sustained targeted behavior change. Chatbot technology also has the potential for consumers and companies to drive action as part of global decarbonization solutions, raising levels of narrative experience and participation in carbon counting. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15382978 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Sustain Track - Interactive and Accessible Carbon Footprint Analyzer Monika Yadav, Dolly Mauraya, Risha Ritika, Deepanshi Nigam, Neha Kulshreshtha <p>Keeping an eye on our carbon footprints is important if we want to tackle climate change effectively. Traditional methods for<br>tracking carbon emissions often fall short. They just don’t grab people’s attention or keep them engaged. So, this paper dives<br>into a new approach: a fun and user-friendly system for monitoring carbon footprints, featuring a chatbot interface. Yes,<br>chatbots, these nifty tools can help folks track and cut down on their emissions, thanks to some cool artificial intelligence (AI).<br>With machine learning at play, users can get real-time insights, personalized feedback, and even automated analysis of their data. It’s all about using chatbot technology to encourage more sustainable behaviours. The developed study is an evolution of current behavioral intervention frameworks and carbon assessment methodologies. components of the proposed system are One-On-One conversations, AI recommendations, and real-time tracking of user data about lifestyle choices concerning energy, transport, and food. The chatbot-based tracking increases awareness about the carbon footprint and further encourages physical activity levels, as the study concludes. Retention, as well as a more sustained targeted behavior change. Chatbot technology also has the potential for consumers and companies to drive action as part of global decarbonization solutions, raising levels of narrative experience and participation in carbon counting. </p> |
| title | Sustain Track - Interactive and Accessible Carbon Footprint Analyzer |
| url | https://doi.org/10.5281/zenodo.15382978 |