Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Design Approach of AI-Based E-Scooter for Societal use

Author : Akanksha Upare, Devika Ugle, Shravani Hore, Urvashi Shah

Date of Publication :5th April 2025

Abstract: This paper presents a comprehensive design for an economical E-scooter. It is aimed at improving urban transportation for short-distance travel in heavily populated cities, with a focus on inclusivity, affordability, and durability. The e-scooter is designed with user-friendly controls and adjustable ergonomics, catering various and diverse range of users, including elderly individuals and people with limited technical skills. By using advanced technologies such as AI based algorithms, IoT-enabled GPS for real-time tracking, the e-scooter aims to improve user experience. This paper emphasizes on the usage of cost-effective components to ensure affordability, short-distance E-Scooter particularly for lower-income communities such as workers, while maintaining durability that can work in almost any environmental conditions. Additionally, solar-powered battery is used and charging supports future use goals, further it minimizes the emission of greenhouse gases that may pollute the environment which is beneficial for commuters. This design ultimately offers a sustainable and efficient alternative to traditional vehicles, promoting eco-friendly travel and addressing the traveling needs of needy urban populations.

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