• Ankit Baingane
• Arun Vishwakarma
• Prof. Ashwinee Gadwal
• Prof. Shruti Lashkari

The increasing prevalence of mental health issues globally is met with significant barriers to professional care, including financial constraints, geographical limitations, social stigma, and long wait times for therapy. The absence of immedi- ate and personalized mental health support exacerbates the crisis, leaving individuals vulnerable to worsening emotional distress. This research proposes an AI-powered mental health chatbot designed to provide real-time, empathetic support through text- based interactions. Leveraging Natural Language Processing (NLP) and sentiment analysis, the chatbot can assess users’ emotions and deliver personalized advice, mindfulness exercises, and coping strategies. The system ensures accessibility by offering 24/7 assistance, eliminating geographical and financial barriers, and maintaining strict data privacy protocols. By addressing the critical gap in mental health support, this AI-driven solution aims to empower individuals with timely, confidential, and cost- effective mental health resources, improving emotional well-being on a global scale.

Mental Health, AI Chatbot, Sentiment Analysis, Emotion Detection, NLP, Mental Wellness, Journal Logging, ChatBuddy, ACROCARE

"Acrocare Mental Health AI Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.300-305, May-2025, Available :http://www.jetir.org/papers/JETIRGV06043.pdf

"Acrocare Mental Health AI Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp300-305, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06043.pdf