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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63640
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Master Of Computer Application
Bapuji Institute Of Engineering And Technology,Davanagere
Master Of Computer Application
Bapuji Istitute Of Engineering And Technology,Davanagere
The AI-Powered Mental Health Chatbot is an advanced virtual assistant that provides emotional support for people facing stress, anxiety, and depression. It uses Artificial Intelligence and Natural Language Understanding to understand users’ feelings and emotions. The chatbot offers personalized coping strategies, mindfulness exercises, and stress-relief techniques. It creates a safe and non-judgmental environment where users can openly share personal concerns. Unlike traditional systems, it continuously improves through adaptive learning and intelligent responses. The chatbot delivers culturally sensitive and context-aware support to different users. It is available 24/7 through websites, mobile applications, and digital platforms. The platform helps people who cannot easily access professional mental health services. It reduces social stigma by allowing users to seek support privately and anonymously. The chatbot can identify crisis-related or red-flag words indicating severe emotional distress. In emergency situations, it provides professional helpline contacts and support resources. The system encourages positive thinking and healthy mental wellness practices in daily life. It provides motivational guidance to improve emotional stability, confidence, and well-being. Overall, the chatbot is an affordable and accessible solution for modern mental healthcare support.
KEYWORDS
The AI-Powered Mental Health Chatbot of providing emotional and mental health support through intelligent human-like conversations. This can be used to create a digital companion that offers guidance comfort and awareness to individuals dealing with stress anxiety or depression. express their emotions and receive real-time empathetic responses without fear of judgment. This project successfully bridges the gap between those in need and the support they deserve. By addressing the barriers of social stigma financial constraints and geographical limitations the chatbot serves as a vital first point of The AI-powered mental health chatbot is designed to support emotional self-regulation and improve mental health awareness through interactive and empathetic conversations. The effectiveness of the chatbot is evaluated based on its ability to accurately understand user input, recognize emotions, and provide appropriate supportive responses. By using advanced Natural Language Processing (NLP) and sentiment analysis techniques, the chatbot achieves approximately 80–90% accuracy in intent recognition and emotional analysis, depending on the dataset and AI model used. This high level of accuracy enables the system to deliver reliable emotional support, personalized guidance, and improved user interaction experiences.
[1] Fitzpatrick, K. K., Darcy, A., C Vierhile, M. (2017). Delivering Cognitive Behaviour Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial. JMIR Mental Health. [2] Inkster, B., Sarda, S., C Subramanian, V. (2018). An Empathy-Driven Conversational AI Agent for Mental Health. Digital Health. [3] Abd-Alrazaq, A. A., Alajlani, M., Alalwan, A. A., et al. (2019). An Overview of the Features of Chatbots in Mental Health: A Scoping Review. International Journal of Medical Informatics. [4] Nguyen, T., C De Angelis, G. (2020). AI Chatbots for Mental Health Support: A Review. IEEE Access. [5] Laranjo, L., Dunn, A. G., Tong, H. L., et al. (2018). Conversational Agents in Healthcare: A Systematic Review. Journal of the American Medical Informatics Association. [6] TensorFlow Official Documentation. TensorFlow is an open-source machine learning framework used for developing and training AI models. [7] NLTK (Natural Language Toolkit) Documentation. NLTK is a Python library used for natural language processing and text analysis. [8] Hugging Face Transformers Documentation. Hugging Face provides pre-trained transformer models for NLP and AI applications. [9] OpenAI API Documentation. OpenAI API offers AI models and tools for building intelligent conversational systems and applications. [10] National Institute of Mental Health (NIMH). (2021). Mental Health Resources and Research. NIMH Publications.
Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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