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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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EVision: An AI-Driven, Machine Learning and Data Analytics Enhanced Personalized Electric Vehicle Recommendation Framework

Author(s):Kanishka Sharma1, Dr. Sapna Jain2

Affiliation: 1,2Department of Computer Science, School of Engineering Sciences & Technology, Jamia Hamdard University, India

Page No: 1-5

Volume issue & Publishing Year: Volume 2 Issue 11,November-2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI: https://doi.org/10.5281/zenodo.17620496

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Abstract:
EVision: An AI-Driven, Machine Learning and Data Analytics Enhanced Personalized Electric Vehicle Recommendation Framework. Now that the global electric vehicle market is gaining momentum, personalized recommendations are even more crucial to meet varied consumer needs and guide them toward decisions. Based on this crucial need, this paper introduces EVision: new recommendation platform that takes advantage of machine learning, data analysis, and artificial intelligence to present well-personalized EV vehicle suggestions. Overcomes All Limitations Compared to Traditional Recommendation Systems. Such a system combined a recommendation engine, data analytics for understanding real consumer needs, and an NLP-based chatbot [1], [2]. The framework thus contributes to a sustainable ecosystem of EV and aims to support the increased participation of users and decision-making. Experimental results demonstrate that EVision is effective at boosting the accuracy of suggestions and improving user satisfaction with excellent potential for future adoption of EV

Keywords: Electric Vehicles, Artificial Intelligence, Machine Learning, Recommendation Systems

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