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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42542

EV – Charging Station Locator Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42542

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSM

Mr. Shreysh M.Powar1

MJ

Mr.Kaustubh J.Mali2

MSST

Mr. Sujal S. Tamdalage3

MSSB

Mr. Shrivardhan S. Bhandare4

MPSB

Mrs. P. S. Bodake

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Abstract

With the rapid increase in electric vehicle (EV) adoption, the need for accessible charging infrastructure has become paramount. This project presents the development of an Android application designed to locate EV charging stations efficiently. The application utilizes a user-friendly interface to allow users to search for nearby charging stations based on their location, preferences, and real-time availability. Key features include an interactive map, filters for station types (e.g., fast charging, standard), and integration with user reviews and ratings to enhance decision-making. The app leverages GPS technology for accurate location tracking and provides users with navigation directions to selected stations. Additionally, it offers notifications for charging station availability and estimated charging times. By addressing the challenges of finding charging infrastructure, this application aims to promote the use of electric vehicles, contribute to sustainable transportation solutions, and enhance the overall EV user experience. Future enhancements may include integration with payment systems for seamless transactions and a community feature for users to share experiences and tips.

KEYWORDS

Virtual Assistant Library Management Artificial Intelligence Natural Language Processing (NLP) Book Catalog Search User Query Automation Machine Learning Library Automation Inventory Management Conversational Interface AI-driven Library Services.

Cite This Article

Mr. Shreysh M.Powar1, Mr.Kaustubh J.Mali2, Mr. Sujal S. Tamdalage3, Mr. Shrivardhan S. Bhandare4, Mrs. P. S. Bodake, "EV – Charging Station Locator Application," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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