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In modern human society, mental health issues have become one of the biggest health care challenges. Nowadays, every individual experiences these issues that cause harm to the person, family, career, community, and even the economy. Chatbots, also referred to as communicative agents, are a relatively new technical advancement effectively utilized in mental healthcare. They are a scalable platform that offers initial support to those having mental health issues. We conducted a mental health study and received feedback from about 800 users. The female users in the age group of 30 and above were the majority. We conducted statistical analysis and used various machine learning models to extract various insights. The results show age, struggle in coping-up, and change in work were some factors that resulted in feeling stressed among users. The accuracy of the Random forest classifier is 0.37 and that of the Gradient boosting classifier is 0.33. This demonstrates the necessary inclusion of AI in mental health support. In this study, we aim to provide individual mental health care with the help of an Artificial intelligence-driven mental health chatbot, Sakhi. It delivers insightful analysis that offers emotional support, individualized help, and remote mental health monitoring.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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