Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63640

AI-Powered Mental Health Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63640

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63640

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.

Share this article:

Authors

PKN

Pooja K N

Master Of Computer Application

Bapuji Institute Of Engineering And Technology,Davanagere

Download Author Certificate
NS

Nandish S

Master Of Computer Application

Bapuji Istitute Of Engineering And Technology,Davanagere

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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

Keywords: Mental Health Emotional Support Natural Language Understanding Emotion Detection Mindfulness Exercises Stress Management

Cite This Article

Pooja K N, Nandish S, "AI-Powered Mental Health Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM63640

Full Article/Conclusion

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.

References

[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.

Editorial & Review Transparency

Publication Date

5/21/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...