Mindcare AI: Transforming Mental Health Support with AI

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Janapala Lohith Kumar
Topella Mahipathi Rao
Vetsa Ganesh
Puttur Swetha
Jonathan Bathula

Abstract

Mind Care AI is an AI-driven conversational agent designed to bridge the gap between unmet demand for mental health services and limited therapeutic resources. The platform combines advanced natural language processing (NLP), finetuned transformer models (Llama 3.2), cognitive-behavioural therapy (CBT) modules, and a reinforcement-learning personalisation layer to deliver real-time, evidence-based mental health support. In a four-week pilot study with 100 participants, the emotion detection module achieved an accuracy of 88% and an F-score of 0.88. At the same time, user engagement metrics showed high repeat-usage rates and positive satisfaction scores. MindCare AI operates 24/7, addresses stigma through a discreet self-care coach interface, and follows a blended model of care that escalates users to professional counsellors when necessary. Privacy is ensured through AES-256 encryption and compliance with GDPR and HIPAA. Future work includes multimodal input, multilingual support, wearable integration, and deeper integration with clinical workflows. These results validate MindCare AI as a promising, scalable solution for democratising access to mental health support.

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How to Cite
[1]
Janapala Lohith Kumar, Topella Mahipathi Rao, Vetsa Ganesh, Puttur Swetha, and Jonathan Bathula , Trans., “Mindcare AI: Transforming Mental Health Support with AI”, IJPMH, vol. 6, no. 3, pp. 14–19, Mar. 2026, doi: 10.54105/ijpmh.C1142.06030326.
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Author Biography

Janapala Lohith Kumar, Student, Department of Computer Science & Engineering, KL University, Guntur (Andhra Pradesh), India.



How to Cite

[1]
Janapala Lohith Kumar, Topella Mahipathi Rao, Vetsa Ganesh, Puttur Swetha, and Jonathan Bathula , Trans., “Mindcare AI: Transforming Mental Health Support with AI”, IJPMH, vol. 6, no. 3, pp. 14–19, Mar. 2026, doi: 10.54105/ijpmh.C1142.06030326.
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References

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