Medical Chatbot

Authors

  • Jagruti Wagh  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Nikhil Vadekar  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Sumedh Shinde  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Rohit Sonone  

Keywords:

Chatbot, COVID-19, Artificial Intelligence, Machine learning, Deep Learning, Natural Language Toolkit (NLTK), Natural Language Processing (NLP), Intent, bag of words, Python.

Abstract

The Medical Chat-Bot is a software that is used to interact with users using NLP via text Today in the present era,We have challenges in the country is provision of good quality and affordable healthcare services to its growing population and at the same time, they are not cost efficient.the chat bot are usefull in the all industries. the chatbot using Artificial intellegence , machine Learning and deep learning use for diagonostics of medical. The aim of the project is everyone has the general queries about any topics but we train our Bot for Medical disease and their symtoms.our system mainly focuses on the rural part and general users.our system understand the pattern using machine learning for the given symtoms.our sytem tries to solve the general problems and queries with the help of symtoms provided by user.and help them to guide on correct medicines.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-04-30

Issue

Volume 8, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jagruti Wagh, Nikhil Vadekar, Sumedh Shinde, Rohit Sonone, " Medical Chatbot" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.413-416, March-April-2022.