International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | HealthAI: An Intelligent Multimodal AI-Based Healthcare Assistance System Using GPT-Based Symptom Analysis and Vision AI |
|---|---|
| ABSTRACT | Healthcare accessibility and early disease diagnosis remain significant challenges, particularly in rural and semi-urban regions where specialist healthcare services are limited. This paper presents HealthAI, an intelligent multimodal healthcare assistance platform integrating GPT-based symptom analysis, Vision AI dermatological image detection, severity classification, and hospital recommendation within a unified web-based system. The proposed framework allows users to enter symptoms and upload medical images through an interactive interface, after which AI models analyze the provided inputs and generate disease predictions along with healthcare guidance. The symptom analysis module leverages GPT-based Large Language Models (LLMs) to interpret natural language symptom descriptions using contextual reasoning and semantic understanding. Vision AI models are integrated for dermatological disease detection from uploaded skin images. The system further evaluates disease severity and categorizes conditions into low, moderate, and high-risk levels to support early medical intervention. Personalized hospital and specialist recommendations are also provided based on disease type and healthcare urgency. The complete platform is developed using React.js, Tailwind CSS, Node.js, Express.js, MongoDB, GPT-based AI models, and Vision AI technologies. Experimental evaluation demonstrates improved healthcare assistance capability, enhanced disease prediction performance, and efficient multimodal healthcare analysis. The proposed HealthAI platform highlights the practical applicability of Artificial Intelligence in preventive healthcare and intelligent medical assistance systems. |
| AUTHOR | SHRIRAKSHA A S, SAIKISHORE P, PRAJWAL G H, SHREEHARSHA B H, PUNEETH V Department of Information Science & Engineering, Jain Institute of Technology, Davanagere, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405092 |
| pdf/92_HealthAI An Intelligent Multimodal AI-Based Healthcare Assistance System Using GPT-Based Symptom Analysis and Vision AI.pdf | |
| KEYWORDS | |
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