Remedy Chatbot: A Relief from Stress and Problems

BANTU VENKATAPATHI RAJU , GANJAYELA PEDDANNA , G. NAGALAKSHMI

Bot, Chatbot, Emotion, Mental Health, NLP (Natural Language Processing), Stress, Therapy, Tokenization.

Everyday events are frequent in our hectic life. People still find it uncomfortable to talk to others about their psychological states and usually prefer to keep their problems to themselves. This usually causes tension in their thoughts to build up, which hinders their ability to be productive at work. As these situations go longer, we usually come up with the idea of introducing a Therapy Chatbot to help and inquire about the client's mental health. The user is free to express his emotions without worrying about criticism. Consequently, fewer people will die from depression. In order to interpret user input, this paper presents a chatbot architecture that includes a dialogue management system and a natural language generation (NLG) module for handling user input, a natural language generation (NLG) module for producing responses in natural language, and a conversation management system for producing answers. The chatbot's functionality is enhanced through integration with external databases, knowledge base

Published Paper   E-Certificate

"Remedy Chatbot: A Relief from Stress and Problems", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.313 - 318, April-2024, Available :https://ijsdr.org/papers/IJSDR2404046.pdf

Volume 9 Issue 4, April-2024

Pages : 313 - 318

Paper Reg. ID: IJSDR_210724

Published Paper Id: IJSDR2404046

Downloads: 000347378

Research Area: Computer Science & Technology 

Country: TIRUPATI, ANDHRAPRADESH, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404046

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404046

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