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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53473

AI Powered Digital Mental Health Platform for Students - Psyconnect

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53473

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53473

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

LK1

Lakshmanan K 1

DCG2

Deeban Chakkrawarthy G 2

SS

Sathya S3

LK

Lakshidha K4

MSP5

Maha Sri P 5

KM6

Kottaisamy M 6

RDD

Raghul Deva D7

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Abstract

Mental health issues among students have become a major concern in today’s fast-paced and competitive world. Stress, anxiety, and depression often go unnoticed until they severely impact academic and personal life. PsyConnect is an AI-powered digital mental health platform designed to identify, analyze, and support students’ emotional well-being. The system integrates Natural Language Processing (NLP), Machine Learning (ML), and Sentiment Analysis to detect emotional states from text inputs. It also provides features such as an AI Chatbot, Counselor Connect, Wellness Dashboard, and Community Support to ensure comprehensive mental health assistance. By combining technology with empathy, PsyConnect bridges the gap between human counseling and intelligent automation, promoting a healthier and more mindful campus environment

KEYWORDS

Mental Health Emotion Detection AI Chatbot Sentiment Analysis Stress Prediction Counseling Support.

Cite This Article

Lakshmanan K 1, Deeban Chakkrawarthy G 2, Sathya S3, Lakshidha K4, Maha Sri P 5, Kottaisamy M 6, Raghul Deva D7, "AI Powered Digital Mental Health Platform for Students - Psyconnect," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53473

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Publication Date

4/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

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

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No funding information available for this research.

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