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
Authors
- Varun Sodhani
Institutions
- Centre for Artificial Intelligence and Robotics (IN)
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