Bike E-Catalogue Mobile App

Abstract

This paper presents the design and development of a Bike E- Catalog Mobile App aimed at enhancing the user experience in selectingbikesthroughfeaturessuchasQRcodescanning, 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

Introduction

he retail industry is rapidly evolving with digital technology, especially through mobile apps that simplify product search, comparison, and purchase. In the automotive and bike sectors, buying a bike traditionally involved visiting multiple dealers and manually comparing models, which was time-consuming and fragmented. To address this, the Bike E-catalogue Mobile App offers an integrated digital platform enabling users to view, compare, and buy bikes conveniently.

Key app features include:

• QR Code Scanning for instant bike details

• GPS-based Seller Location to find nearby dealers

• Bike Comparison Tools for side-by-side analysis

• Real-time Updates on pricing and availability

• In-app Payment with secure, multiple options

• Augmented Reality (AR) to visualize bikes in real-world settings

The app is developed using React Native (for cross-platform compatibility), Express.js backend, MongoDB Atlas for data storage, AWS S3 for image hosting, and Google Maps API for location services.

Initial testing shows promising results in QR scanning and GPS tracking, with ongoing improvements planned. Future enhancements may include AI-driven bike recommendations, real-time chat with sellers, partnerships with cycling clubs, and bike rental services.

Conclusion

The BikeE-catalogue MobileAppisstill inthe earlystages of development, with approximately 80% of the project completed. Despite being in progress, the app has already demonstrated its potential to streamline the process of exploring, comparing, and purchasing bikes. Key features suchasQRcodescanning,bikecomparison,andGPS-based seller location are currently under active development, and initial testing has shown promising results in terms of functionality and user experience As the project progresses, additional features like in-app payments, AI-powered bike recommendations, and a direct chat option for communicating with sellers are planned for future iterations. These enhancements will further improve the user experience and expand the app\'s capabilities. The ongoingdevelopmentwillfocusonoptimizingperformance, refiningtheuserinterface,andensuringseamlessinteraction across all functionalities. Once complete, the Bike E- catalogueMobileApphasthepotentialtotransformthebike shopping experience into a more convenient and efficient process for users.

References

[1] Smith,A.,\"MobileAppDevelopmentforOnline Retail,\" Journal of Retail Innovation, 2023. [2] Doe, J., \"Using QR Code Technology for Retail Applications,\"InternationalJournalofMobileComputing, 2022. [3] Johnson, R., \"Cloud Databases for Real-Time Applications,\" IEEE Transactions on Cloud Computing, 2021. [4] Bike E-catalogue Mobile App\" International Research JournalofEngineeringandTechnology(IREJournals),Vol. 6, Issue 2, June 2022, https://www.irejournals.com/paper-details/1704540. [5] Sharma, A. (2021). QR code technology in e- commerceapplications.InternationalJournalof Computer Science, 15(2), 22-30. [6] Gupta, R., & Singh, P. (2020). Real-time GPS trackinginmobileapplicationsforenhanceduser experience. Journal of Mobile Computing

Copyright

Copyright © 2025 Varun Sodhani, Vrushali Sodhani, Kanchan Singh, Anam Khan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.