A Systematic Review of Recent Research on Chatbots

Elhiny, Lamees; Ye, Xinfeng; Speidel, Ulrich; Manoharan, Sathiamoorthy

doi:10.1109/icecce61019.2023.10442532

2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE) 2023

DOI: 10.1109/icecce61019.2023.10442532

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A Systematic Review of Recent Research on Chatbots

Lamees Elhiny,

Xinfeng Ye,

Ulrich Speidel

et al.

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2024

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Interactive AI Chatbot for Mental Illness

P. Dinesh,

R. Gayathri,

R. Pugazhini

2024

IJARSCT

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In today's increasingly technological world, mental health awareness is paramount, with the intersection of technology and wellness offering innovative solutions to alleviation of depression symptoms, attrition, and loss of follow-up in mental health treatment. To start a good life healthcare is more important. Mental health problems becoming more common, there's a need for easy-to-access support. Our chatbot uses smart technology to understand what users are feeling, offer kind responses. It's built using advanced computer learning to get better at recognizing and dealing with different mental health concerns. In this application implement natural language processing (NLP) and speech recognition. The application includes a robust authentication system for user security, featuring traditional methods like username/password verification, alongside a graphical password authentication system. Users can select a random image during registration, which is then split into shares for secure storage. The chatbot analyzes user queries to recommend tailored stress-relief strategies, including mindfulness exercises, relaxation techniques, and personalized yoga poses displayed with accompanying images and instructions. The backend manages user data, recommendation algorithms, and integration with external services, while the frontend offers intuitive interfaces for seamless user interaction. Thorough testing ensures functionality, usability, and security before deployment, with continuous improvement based on user feedback and technological advancements driving the project evolution.

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Interactive AI Chatbot for Mental Illness

P. Dinesh,

R. Gayathri,

R. Pugazhini

2024

IJARSCT

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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A Systematic Review of Recent Research on Chatbots

Cited by 1 publication

References 73 publications

Interactive AI Chatbot for Mental Illness

Interactive AI Chatbot for Mental Illness

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