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HealHive: A Secure Anonymous AI-Driven Mental Health Support Platform
Subject area: Science,Engineering and Technology · Area of research: Mental Health
DOI: 10.64388/IREV9I10-1716891
Abstract
The occurrence of mental disorders is on the rise in India; however, a significant portion of the population does not approach any professionals owing to factors like stigma, confidentiality issues, affordability concerns, and unavailability of trustworthy therapists. Although several online platforms have come into existence for dealing with such challenges, they fail to ensure anonymity, intelligent therapist matchmaking, and safety precautions. This study suggests HealHive, an AI-driven, anonymous, and secure online platform aimed at helping users deal with their mental issues using advanced technology. The system uses NLP for the evaluation of the user's responses, classifies the severity level of their mental disorder, and recommends further courses of action. In case of low-risk patients, the AI takes charge, while high-risk patients are handed over to verified therapists via intelligent matchmaking services. Anonymity and security are two of the key concerns for users of online systems, and therefore, HealHive uses anonymized verification, encryption of communications, and intelligent moderation based on AI for preventing any unsafe activities. Through comparative analysis with other systems, the advantages of the model under consideration become apparent.
Keywords
Analysis, Mental Health, AI Chatbot, Anonymity, Therapist Matching, Secure Communication, NLP, Digital Healthcare
References
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How to cite this paper
@article{1716891,
author = {Sachin Hiranwale, Swaraj Shelar, Satya Pragyan Barik, Suchit Parte, Vansh Asnani},
title = {HealHive: A Secure Anonymous AI-Driven Mental Health Support Platform},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {3467-3471},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716891.pdf},
abstract = {The occurrence of mental disorders is on the rise in India; however, a significant portion of the population does not approach any professionals owing to factors like stigma, confidentiality issues, affordability concerns, and unavailability of trustworthy therapists. Although several online platforms have come into existence for dealing with such challenges, they fail to ensure anonymity, intelligent therapist matchmaking, and safety precautions. This study suggests HealHive, an AI-driven, anonymous, and secure online platform aimed at helping users deal with their mental issues using advanced technology. The system uses NLP for the evaluation of the user's responses, classifies the severity level of their mental disorder, and recommends further courses of action. In case of low-risk patients, the AI takes charge, while high-risk patients are handed over to verified therapists via intelligent matchmaking services. Anonymity and security are two of the key concerns for users of online systems, and therefore, HealHive uses anonymized verification, encryption of communications, and intelligent moderation based on AI for preventing any unsafe activities. Through comparative analysis with other systems, the advantages of the model under consideration become apparent.},
keywords = {Analysis, Mental Health, AI Chatbot, Anonymity, Therapist Matching, Secure Communication, NLP, Digital Healthcare},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716891}
}