Mental Illness Aiding Through Machine Learning and Soft-Computing

Abstract

This research presents an innovative chatbot system aimed at addressing mental health challenges through a fusion of Natural Language Processing (NLP) and Artificial Intelligence (AI). The chatbot stands out by offering personalized therapeutic conversations and tailored activity recommendations, enhancing the well-being of users. By integrating web scraping, the system enriches user experiences with relevant online stories. The study introduces a hybrid approach for response accuracy and includes multilingual support to cater to a diverse user base. The results of this study demonstrate substantial enhancements in both response accuracy and sentiment analysis. Overall, this chatbot system has the potential to make a significant impact on mental health support, showcasing the advancements in technology for the betterment of user well-being in an ever-evolving digital landscape.

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