Manuscript Number : CSEIT195286
Automatic Bill Payment using Natural Language Processing
Authors(4) :-Dhivya Prabha, Siva Shankar, Sowndararaj , Vignesh Kumar In the modern world, people receive various bills through post, sms, emails etc. They use cards, e-wallets and net banking to pay them in online. This manual process can be automated if the user wishes to pay selective or each bill he/she receives monthly. It is common that, most of the bills we receive nowadays are through sms and emails,with the help of Natural Language Processing , the message can be classified i.e whether the message is a bill or not. If the message is a bill, then there will be sufficient details to pay it, such as cost, user unique number, purpose of payment. From these details, the application can pay through online from the registered card details. A push notification is sent to the user regarding the transaction, whether it is successful or not. The details are completely stored in the cloud. The selected type of bills are stored in the app itself. Moreover the application is capable of paying others bill if the user wishes to pay.
Dhivya Prabha Natural Language Processing, Automation, Payment, Online Transaction. Publication Details Published in : Volume 5 | Issue 2 | March-April 2019 Article Preview
Assistant Professor, Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Siva Shankar
Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Sowndararaj
Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Vignesh Kumar
Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Date of Publication : 2019-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 415-419
Manuscript Number : CSEIT195286
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT195286
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