Work place: GMR Institute of Technology, Rajam, Andhra Pradesh, India
E-mail: archana.u@gmrit.edu.in
Website:
Research Interests: Machine Learning, Big data and learning analytics
Biography
Uriti Archana is working as Assistant Professor in the Department of Information Technology at GMR Institute of Technology, Rajam. Education qualification: B.Tech from JNTUK, M.Tech from JNTUK. Currently Pursuing Ph.D in Machine Learning and Computer Vision. Research interests include Big Data Analytics, Networking and Machine Learning.
By Archana Uriti Surya Prakash Yalla
DOI: https://doi.org/10.5815/ijieeb.2023.05.01, Pub. Date: 8 Oct. 2023
The "rapid response" code, or QR code, is made to quickly decode vast amounts of data. Any managed device, such as a smartphone, is able to capture it, and it is simple to access simply scanning the 2D matrix code. The dataset is analyzed utilizing machine learning techniques, such as the confusion matrix score utilized for the multinomial naive Bayes algorithm's performance analysis. The QR code generation is limited to single product and is extended now to include all products. Due to its ability to provide clients with benefits including speedy, error-free access and the ability to store a lot of data. Generally, many people are using the online payment for any transaction for flexibility and one can do at any place at any time. For bulk or huge payment, cash is not a good option. Hence many retailers join in the e-wallet companies and make their payment so flexible and faster transaction. Because of these benefits, QR code has becoming widespread.
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