Bike E-Catalogue Mobile App

This paper presents the design and development of a Bike E- Catalog Mobile App aimed at enhancing the user experience in selecting bikes through features such as QR code scanning, GPS tracking, and seller comparison. Built using React Native for frontend development and Express.js for backend, the app uses MongoDB Atlas for storing user data and AWS S3 for image storage. This research focuses on the app’s architecture, highlighting the integration of key technologies like RESTful APIs, real-time data processing, and secure data handling. Additionally, the paper evaluates the app’s performance metrics, such as response time during QR code scanning and GPS accuracy, and discusses future enhancements for scaling and improving user interaction

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-07
DOI
https://doi.org/10.22214/ijraset.2025.68348
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Bike E-Catalogue Mobile App

Varun Sodhani
International Journal for Research in Applied Science and Engineering Technology
3D Modeling in Geospatial Applications
article

Bike E-Catalogue Mobile App

Varun Sodhani
article en

Abstract

This paper presents the design and development of a Bike E- Catalog Mobile App aimed at enhancing the user experience in selecting bikes through features such as QR code scanning, GPS tracking, and seller comparison. Built using React Native for frontend development and Express.js for backend, the app uses MongoDB Atlas for storing user data and AWS S3 for image storage. This research focuses on the app’s architecture, highlighting the integration of key technologies like RESTful APIs, real-time data processing, and secure data handling. Additionally, the paper evaluates the app’s performance metrics, such as response time during QR code scanning and GPS accuracy, and discusses future enhancements for scaling and improving user interaction

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Centre for Artificial Intelligence and Robotics (IN)
Openalex Percentile: Top 94%
3D Modeling in Geospatial Applications
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