Paper Key : IRJ************028
Author: Atharva Vikas Kamble ,Prem Ganesh Kamble,Dipak Parshram Edake,Sudarshan Prakash Herwade
Date Published: 23 Oct 2023
Abstract
Mental health is an important aspect of health and well-being. But many people with mental health issues don't seek help due to stigma, cost or lack of care. Chatbots can provide a safe and accessible way for people to receive mental health support. This project proposed the development of a psychological chatbot website with personalized recommendations. Chatbots will be able to analyze the user's current mood and express their feelings with motivational messages, beauty recommendations, movie recommendations, book recommendations, personal and written notes. Personalized recommendations will be based on the user's wishes and preferences. For example, if the user is stressed, the chatbot will suggest playing music, relaxing movies, self-help books, or stress-relieving meditations. The journal will allow users to share their thoughts and track their thoughts in real time. This can help users identify thought patterns and identify psychological problems. A mental health chatbot web application with personalized recommendations has the potential to improve userswell-being by providing users with easily accessible, personalized support.Some of the benefits of the program include:Greater access to mental health support Reduced stigma around mental health Improvement of psychological development, Self-awareness and understanding of psychologyThis study is still in development but It has the potential to benefit mental health.Keywords: psychology, chatbot, web application, personalized recommendation system, mood analysis, inspirational quotes, music recommendation, video recommendation, book recommendation, personal reflection, diary, mental health, receiving care, Reducing stigma, mental health healing Benefits, self-awareness, health understanding, skills; natural language processing; understanding natural language; positive reviewThis work is licensed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the prior work is deemed good.5106 CMC, 2023, Volume 74, Issue 3
DOI LINK : 10.56726/IRJMETS45487 https://www.doi.org/10.56726/IRJMETS45487