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AI For Mental Health: The use of Chatbots and NLP to Support Therapy and Early Detection

NEHA YADAV
Department of AI-ML
ADGIPS - Delhi
New Delhi, INDIA
yneha5976@gmail.com

ARSH IQBAL
Department of AI-ML
ADGIPS - Delhi
New Delhi, INDIA
arshiqbal323@gmail.com

BISHAL SINGH BISHT
Department of Al-ML
ADGIPS - Delhi
New Delhi, INDIA
bishtaman1304@gmail.com

HARSH YADAV
Department of Al-ML
ADGIPS - Delhi
New Delhi, INDIA
harsh2005.adgitm@gmail.com

Abstract:
The escalating mental health crisis worldwide has  spurred the examination of alternative technologies to improve access to care, enable early identification of mental health conditions, and provide tailored support. This study investigates the use of Artificial Intelligence (AI), specifically chatbots and Natural Language Processing (NLP), for mental health care. AI-enabled chatbots are increasingly finding their way into therapeutic settings to provide immediate, scalable, and stigma-less support for individuals suffering from psychological distress. These virtual agents can mimic human-like conversations, deliver cognitive behavioural therapy (CBT) strategies, provide continuous mood monitoring, and interventions. Using highly sophisticated NLP algorithms, AI systems can analyse users' use of language, sentiment, and vocal patterns to detect early signs of mental health-related disorders like depression, anxiety disorders, and posttraumatic stress disorder (PTSD). This paper provides an overview of existing AI-based mental health applications and investigates the effectiveness of AI enabled chatbots through user engagement in comparison to traditional methods of therapy.Ultimately, this paper examines the ethical concerns
around AI in mental health related to privacy of  information, and the limitations of machines exhibiting empathy. facilitate evidence-nformed In addition, the study considers hybrid models made up of human therapists and AI technologies that can improve diagnostic accuracy and therapy benefits. The  may dramatically improve barriers to treatment, particularly for those with limited access to mental health care, including those in underserved areas. Overall, the results indicate that artificial intelligence can be a valuable tool in traditional therapy, when developed responsibly and ethically, providing new opportunities for early intervention, ongoing support, and improved access to mental health services.
Keywords:
mental health; mental health interventions; clinical psychology; artificialintelligence; AI chatbots; chatbot; AI;