Medcare Chatbot
Abstract & Details
Research Area
Computer Science & Engineering
Keywords
Chatbot
Text to Text
Artificial Intelligence
Natural Language Processing (NLP)
Recurrent Neural Network (RNN).
Abstract
Wellbeing is significant piece of our life. Is that individual became ill, to recuperate, they needed to counsel to a specialist. For counseling a specialist he/she needed to take arrangement from specialist and leave from office and school. To dispose of this, this "Medcare Chatbot" is made. Our Medcare Chatbot is created to assist individuals with anticipating their medical problem right on time at home before they visit the specialist or clinic for the minor issues. The medcare chatbot is plan to decrease costly expenses. Our chatbot is Artificially Intelligent(AI) text to text based. In which the patient can type their indications and know what sort of illness they have and what medication they need to take. In the event that it is serious, it might answer counsel a specialist. To comprehend the human Natural Language Processing(NLP), Profound Learning is utilized with RNN. The chatbot stores information in the data set to recognize the sentence catchphrases and to settle on inquiry choice and answer the inquiry.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Yashvi Srivastava | Institute of Technology and Management, Gorakhpur, Uttar Pradesh |
| 2 | Nashra Khalid | Institute of Technology and Management, Gorakhpur, Uttar Pradesh |
| 3 | Riya Singh | Institute of Technology and Management, Gorakhpur, Uttar Pradesh |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Srivastava, Yashvi, Khalid, Nashra, & Singh, Riya (2022). Medcare Chatbot. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 367-370.
MLA Style
Srivastava, Yashvi, et al. "Medcare Chatbot." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 367-370.
IEEE Style
Yashvi Srivastava, Nashra Khalid, and Riya Singh, "Medcare Chatbot," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 367-370, 2022.
Vancouver Style
Srivastava Yashvi, Khalid Nashra, Singh Riya. Medcare Chatbot. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):367-370.
Harvard Style
Srivastava, Yashvi, Khalid, Nashra, & Singh, Riya (2022) 'Medcare Chatbot', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 367-370.
Chicago Style
Srivastava, Yashvi, Nashra Khalid, and Riya Singh. "Medcare Chatbot." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 367-370.
Turabian Style
Srivastava, Yashvi, Nashra Khalid, and Riya Singh. "Medcare Chatbot." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 367-370.
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