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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64947

Mental Health Journal & AI Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64947

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

PA

Pratik Arjugade

Department of Electronic and Telecommunication Engineering

Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology

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DMJ

Dr. Madan Jadhav

Department of Electronic and Telecommunication Engineering

Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology

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HM

Harshal Mohite

Department of Electronic and Telecommunication Engineering

Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology

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AG

Ashwin Girme

Department of Electronic and Telecommunication Engineering

Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology

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Mentors

DMMJ

Dr. M. M. Jadhav

Department of Electronic and Telecommunication Engineering

Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology

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Abstract

The aim of this paper is to develop a web based platform that integrates an AI powered mental health chatbot ,a secure digital journaling system , and a pulse sensor for real time stress monitoring .The chatbot uses natural language processing to provide supportive and context aware conversation , while the journaling feature encourages emotional self expression .

KEYWORDS

Mental Health Monitoring AI Chatbot Nature Language Processing Detection Mental Health Digital Journal Pulse Sensor Health Analytics ESP32 .

Cite This Article

Pratik Arjugade, Dr. Madan Jadhav, Harshal Mohite, Ashwin Girme, Dr. M. M. Jadhav, "Mental Health Journal & AI Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026.

Full Article/Conclusion

The proposed Mental Health Journal and AI Chatbot system demonstrates how modern technologies can be integrated to support mental well-being in an accessible and user-friendly manner. By combining an AI-powered conversational chatbot with a digital journaling platform and real-time physiological monitoring through a pulse sensor, the system provides a holistic approach to mental health support. The chatbot enables users to express emotions and receive contextual responses, while the journaling feature encourages self-reflection and emotional tracking. Additionally, the integration of sensor-based health monitoring enhances the system’s capability to observe stress-related indicators in real time.   The proposed platform highlights the potential of Artificial Intelligence and IoT technologies in creating supportive environments for the individuals who may hesitate to seek traditional mental health services due to stigma, lack of awareness, or limited accessibility. By offering a private, interactive, and continuous support tool, the system aims to promote early awareness of mental health conditions and encourage healthier coping mechanisms. Future work may focus on improving the chatbot’s emotional intelligence, incorporating advanced machine learning models for more accurate sentiment analysis, expanding physiological monitoring features, and enhancing data privacy and security. Overall, the system presents a promising step toward leveraging intelligent technology for proactive mental health care and digital well-being support.

References

[1]R .Kumar , A .Raj Patel., ”AI Powered Chatbots for Mental Support” ,JSRT ,2025.Muskan Agarwal , Divyanshi Chauhan , Nidhi Yadav , Prof .Swasti Singhal, “Sakhi : AI Generated Mental Health Companion” , IEEE Conference ,2023. [2] Khushal Kumar B.N , Anusha A.S , Bhavana N , Bhavya P, Deekshitha S.A “AI Powered Mental Health Companion”, IJARCCE,2025. [3]    Prof. Daniel Kumar “ AI Powered Emotional Wellness Companion for Mental Health Support” , IJMLAI ,2024. [4] Prof. S. S. Dixit, Shruti Mahulkar, Manasi Pandao, Gauri Rathor, Janhavi Thokane, ”AI Powered Mental Health Chatbot”,IJRASET,2025. [6]S. Anusha, N. Hiranmayee, P. Swetha Kamala, N. Sagarika, P. Roji Sushma, T. Alekhya Sai Lakshmi, M. Kavya Sri, “AI for Mental Health Support”IJISRT,2025. [7] Kavitha Soppari, Krupa Vainala, Ajay Guniganti, Deekshitha Ratna “A Study on AI-Powered Chatbot for Mental Health Support”,WJARR,2025. [8] Mohammad Ashfaquedheen, Abin K. Binoy, Adharsh M. M., Athul Unnikrishnan “Mental Health Companion Application”,IJERT,2023. [9] David B. Olawade , Ojima Z. Wada , Aderonke Odetayo , Juditha Eberhardt “Enhancing Mental Health with Artificial Intelligence”, Elsevier(Journal of Medicine ,Surgery and Public Health ),2024. [10] Riya Baby , Anjumol Zachariah “Mental Health Bot : A Personalized AI Powered Chatbot For Mental Health Support”,IJIEE Vol15,2025.

Editorial & Review Transparency

Publication Date

6/15/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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