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 | Personalized AI Navigation & Diagnosis Assistant |
|---|---|
| ABSTRACT | This report details the design, development, and implementation of an innovative AI-based multilingual health assistant system aimed at revolutionizing healthcare delivery. The system leverages advanced multimodal artificial intelligence to diagnose specific diseases by processing medical images (e.g., X- rays, CT scans) and text-based inputs (e.g., symptom descriptions, medical history) provided by users. Beyond diagnosis, it offers detailed disease descriptions, suggests appropriate medications or treatments based on evidence-based guidelines, and utilizes real-time location tracking to identify and recommend the nearest hospitals specializing in the diagnosed conditions. By incorporating multilingual support, the system addresses language barriers, making healthcare more accessible to diverse global populations. This holistic approach integrates cutting- edge AI technologies with practical healthcare services, aiming to enhance diagnostic accuracy, patient empowerment, and healthcare equity. The report outlines the system's development process, technical requirements, and future potential, supported by a thorough literature review and methodological framework. |
| TITLE | |
| AUTHOR | PROF. BABU SAB, BALAJI S, CHETAN C, CHINMAYA R B, GAGANDEEP S Assistant Professor, Dept. of CSE, Jain Institute of Technology Davangere, India UG Students, Dept. of CSE, Jain Institute of Technology Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312123 |
| pdf/123_Personalized AI Navigation & Diagnosis Assistant.pdf | |
| KEYWORDS | |
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