HEALTH CARE CHATBOT

H D Ruthik , P Sanath , Rajath Yadav , Tejas A , Mrs. Suguna M K

AI-Powered Health Chatbot, Natural Language Processing (NLP) ,Machine Learning ,Deep Learning ,Decision Tree Algorithm ,Symptom-Based Disease Prediction,Natural Language Generation (NLG)

The abstract of the document highlights the increasing number of suicide attempts among students and the potential reasons behind these attempts, such as tough competition and comparisons with others. To address this issue, a computer chatbot system is proposed to recognize emotions from students' text conversations, aiding teachers in understanding students' psychological behavior and taking preventive measures. The system aims to provide an effective conversational interface by utilizing a hybrid model that leverages structural characteristics of chatting and natural language processing techniques.

Published Paper   E-Certificate

"HEALTH CARE CHATBOT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1195 - 1198, May-2024, Available :https://ijsdr.org/papers/IJSDR2405156.pdf

Volume 9 Issue 5, May-2024

Pages : 1195 - 1198

Paper Reg. ID: IJSDR_211524

Published Paper Id: IJSDR2405156

Downloads: 000347222

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405156

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405156

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition