Abstract: Mental health problems are climbing fast, and for a lot of people, real therapy just isn’t an option. Money, a lack of therapists, and the weight of stigma keep too many folks from getting help. Lately, though, AI has started to change the equation.New conversational agents can bring support to more people, right where they are. In this study, we built and tested an AI mental health chatbot that blends natural language processing with cognitive behavioral therapy ideas. It recognizes emotion, offers structured support, and keeps privacy and ethics front and center. Early results show that these chatbots make it easier for people to get help, but there’s still work to do—especially around empathy, personalization, and making sure the advice is truly reliable.
Keywords: Conversational AI, Mental Health Support, NLP Chatbot, Artificial Intelligence, Natural Language Processing, Social and Behavioral Sciences, Real-time Emotion Detection
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DOI:
10.17148/IJARCCE.2025.141177
[1] Yash Nimat, Sakshi Mane, Mokshada Waghmare, "AI-Based Conversational Agents for Mental Health Support: A Comprehensive Review," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141177