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AI Based Eco Lifestyle Advisor

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Last date : 27-Dec-2024

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AI Based Eco Lifestyle Advisor


Sejal Thakre | Vidhi Meshram | Krutika Tikhat | Rushikesh Tajne | Prof. Anupam Chaube



Sejal Thakre | Vidhi Meshram | Krutika Tikhat | Rushikesh Tajne | Prof. Anupam Chaube "AI Based Eco Lifestyle Advisor" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-5, October 2024, pp.1015-1022, URL: https://www.ijtsrd.com/papers/ijtsrd70492.pdf

Sustainable living is a lifestyle that tries to lower an individual's or community's impact on the environment in every day-to-day eco-friendly choice. There includes aspects of waste reduction, environmental protection, carbon emission, and ecological and renewable energy. Critical elements include sustainable diet selection, home efficiency renovations, responsible consumption, and responsible traveling. People may not advocate for international efforts to respond to climate change, preserve biodiversity, and advance the health of the planet for generations yet to come but by doing small achievable things.Using advanced machine learning algorithms and data analytics, the AI-Based Eco-Friendly Lifestyle Advisor encourages changes in lifestyle with regard to sustainability that are tailored to each user. This type of adviser gives the users balanced recommendations on how to reduce carbon footprints, conserve resources, and make eco-friendly choices according to their habits, interests, and the state of their environment. Such an advanced adviser built on artificial intelligence algorithms for the following purposes: understand behavior and preferences while considering the living conditions of each local area to render personally tailored recommendations that suit personal lifestyles. In other words, it is a translation of good ecological choices into action. Be it suggesting plant-based recipes, pointing out energy-saving home improvements, or recommending some green brand- -the adviser accompanies you in all those day-to-day decisions.Integration of large streams of sensor data and satellite images for real-time predictions with an AI model helps make predictions possible for the analysis of CO2 levels, along with actionable insights in emission reduction.

driven sustainability, Environmental data analytics, Personalized eco-recommendations, Carbon footprint optimization, Adaptive machine learning models, Ecological impact forecasting


IJTSRD70492
Volume-8 | Issue-5, October 2024
1015-1022
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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