Self Heal: AI-Enhanced Conversational Therapy Bot for Mental Wellbeing
Author(s):
Eesha Krishna, Charanya S, Divyanshi Gupta, Harshita G Devadiga, Dr. Bhagyashri R Hanji
Keywords:
Conversational bot, Machine Learning, Mental Health, NLP (Natural Language Processing), Sentimental Analysis.
Abstract
Self-Heal stands as an innovative initiative dedicated to delivering accessible mental health support through a cutting-edge application. In response to the escalating challenges in mental health, the work centers around an AI-enhanced conversational therapy bot, uniquely empowered with voice-enabled capabilities. Leveraging advanced natural language processing and machine learning algorithms, this therapeutic companion engages users in empathetic and personalized conversations, transcending the boundaries of traditional text-based interactions. Self-Heal integrates cutting-edge Language Models (LLMs) to continuously enhance its conversational capabilities. These LLMs are trained on vast datasets of human interactions, enabling the therapy bot to understand nuanced language nuances and respond with even greater empathy and effectiveness. The integration of sentiment analysis further enriches the application by offering deep insights into users' emotional states. Complemented by a resourceful hub for education on mental health, Self-Heal envisions contributing significantly to the well-being of individuals by providing a stigma free, technologically advanced platform for those seeking emotional support and guidance.
Article Details
Unique Paper ID: 162607

Publication Volume & Issue: Volume 10, Issue 10

Page(s): 473 - 480
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