Machine Learning Integrated Online Shopping Application

Authors

  • Kaushik R. Bangera Bachelor of Engineering, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India
  • R. Manjesh Assistant Professor, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India
  • Muhammed Sufail Aqmar Bachelor of Engineering, Department of Computer Science and Engineering, Srinivas Institute of Technology, Mangalore, India

Keywords:

E-commerce, Machine learning, online shopping, user interface

Abstract

Online shopping has obtained a major role in 21st century. Most of the people are busy and wants to buy products sitting at home at their comfort zone. Most people prefer online shopping than offline shopping. So, our project ML integrated online shopping application, helps sellers, who don’t have their own website for their store. This application is more applicable for sellers, than the customers. This would help the small sellers to grow their business in their locality and all over country as well. The data is stored in centralized database managed by the application developers. Machine Learning is integrated to this application to recommend products to several customers, which will help the sellers grow their business.

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Published

2021-07-22

How to Cite

[1]
K. R. Bangera, R. Manjesh, and M. S. Aqmar, “Machine Learning Integrated Online Shopping Application”, IJRESM, vol. 4, no. 7, pp. 244–246, Jul. 2021.

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Articles