Abstract
The rapid advancement of artificial intelligence (AI) in healthcare has opened new avenues for improving accessibility and efficiency in medical services. This paper presents the development of a Smart Healthcare Chatbot that integrates automated skin disease diagnosis with mental health support, offering a dual-function platform for comprehensive health assistance. The system leverages computer vision techniques for analysing skin images, providing users with preliminary diagnostic suggestions based on trained machine learning models. Concurrently, it incorporates natural language processing (NLP) to deliver empathetic mental health support, including mood assessment, stress management resources, and Cognitive Behavioral Therapy (CBT)-based conversational tools. The chatbot is designed for real-time interaction, aiming to reduce barriers to care, especially in low-resource or remote environments. By combining physical and psychological health services within a single interface, the system demonstrates the potential of AI-driven solutions to enhance early diagnosis, promote mental well-being, and alleviate pressure on traditional healthcare infrastructure. Preliminary results suggest that such an integrated model can significantly improve user engagement, satisfaction, and self-reported health outcomes.
Citations
IRE Journals:
M Afsheen , Raziya Khatoon
"AI-driven Health Assistant: Skin Disease Detection with Mental Health Support" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 53-56
IEEE:
M Afsheen , Raziya Khatoon
"AI-driven Health Assistant: Skin Disease Detection with Mental Health Support" Iconic Research And Engineering Journals, 9(4)
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