Scalable Architecture for Personalized Recommendations and In-App Payments in a Multi-Platform E-commerce Solution

P. M. Ebin; Neeraj Palliyali; P. Shahad; Najla Musthafa; Tina Babu

doi:10.2991/978-94-6463-738-0_12

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Scalable Architecture for Personalized Recommendations and In-App Payments in a Multi-Platform E-commerce Solution

Authors

P. M. Ebin¹^{, *}, Neeraj Palliyali², P. Shahad³, Najla Musthafa⁴, Tina Babu¹

¹Department of Computer Science and Engineering, Alliance School of Advanced Computing, Alliance University, Bengaluru, India

²School of Computing and MS, University of Greenwich, Greenwich, United Kingdom

³Department of Artificial Intelligence, Madanapalle Institute of Technology & Science, Angallu, Andhra Pradesh, India

⁴Department of CSE, MEA Engineering College, Perinthalmanna, Kerala, India

^*Corresponding author. Email: ebin.pm@alliance.edu.in

Corresponding Author

P. M. Ebin

Available Online 22 June 2025.

DOI: 10.2991/978-94-6463-738-0_12 How to use a DOI?
Keywords: E-commerce; Bidding; Unique skills; Flutter; Dart; Firebase
Abstract: The appropriate fusion of cutting-edge technology with widespread network coverage guarantees a pervasive marketplace. Our initiative provides employment opportunities for individuals by creating a user friendly platform where they can monetize their hobbies. People can exchange their abilities on this platform, and those who need their knowledge can buy them. We suggest a system that allows individuals to post their interests and abilities on a social media page, allowing other users to quote prices and make purchases. This promotes a competitive environment for both professional and personal development in addition to increasing social exposure. By facilitating these transactions, the platform helps individuals achieve better profit margins while promoting their talents to a broader audience. The ultimate goal is to create a thriving community where skills and hobbies are valued, providing a sustainable source of income and enhanced social connections for all participants.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series: Advances in Intelligent Systems Research
Publication Date: 22 June 2025
ISBN: 978-94-6463-738-0
ISSN: 1951-6851
DOI: 10.2991/978-94-6463-738-0_12 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - P. M. Ebin
AU  - Neeraj Palliyali
AU  - P. Shahad
AU  - Najla Musthafa
AU  - Tina Babu
PY  - 2025
DA  - 2025/06/22
TI  - Scalable Architecture for Personalized Recommendations and In-App Payments in a Multi-Platform E-commerce Solution
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 138
EP  - 149
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_12
DO  - 10.2991/978-94-6463-738-0_12
ID  - Ebin2025
ER  -

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