Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, Uttar Pradesh,201204, India.
International Journal of Science and Research Archive, 2025, 15(02), 139-145
Article DOI: 10.30574/ijsra.2025.15.2.1000
Received on 18 February 2025; revised on 27 April 2025; accepted on 30 April 2025
This paper introduces an AI-based empathetic chatbot that provides supportive conversations to people facing mental health challenges. using the Flask framework, Google Dialogflow for natural language processing (NLP). The chatbot understands and responds to user inputs with a friendly and an understanding tone. The Dialogflow platform enables the conversational interaction with users, making the system more interactive and accessible. By integrating NLP, the chatbot processes user inputs and delivers compassionate, non-judgemental and reassuring responses. This paper describes the architecture, methodology, and benefits of using such a system in mental health context, highlighting its potential to enhance mental health support through empathetic and context-aware interactions.
Conversational Agents (Cas); Google Dialogflow; AI-Based Mental Health Support; Personalized Interactions; Cognitive Behavioral Therapy (CBT); Machine Learning Models
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Aryan Khaitan, Shubham Gupta, Arun Maheshwari, Anmol Anand and Rajneesh Kumar. Generative AI and mental health: A new frontier of possibilities. International Journal of Science and Research Archive, 2025, 15(02), 139-145. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1000.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







