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: In a time when getting reliable healthcare information quickly is essential, language barriers and the complexity of medical data often hinder effective self-care. This project introduces "AI Personalised Medicine," an intelligent health assistant designed to connect modern medical technology with accessible wellness advice.
The application has a hybrid design that combines Generative AI with a Rule-Based Engine to ensure safety. Unlike regular chatbots, AI Personalised Medicine uses a "Dual-Engine" approach. It offers users both modern medical advice and traditional Ayurvedic home remedies for each diagnosis. Key features include a Symptom Checker that takes into account patient vitals, medical history, age, and gender.
To improve accessibility, the system includes Multimodal (Medical Vision), allowing users to upload images of skin issues or lab reports for review. The platform supports over 10 Indian languages with full voice interaction, making healthcare advice available to non-English speakers. Other features include a personalized 7-Day Diet Planner, a Drug Interaction Safety Checker, and a GPS-enabled Doctor Locator
Keywords:
Artificial Intelligence in Healthcare, Personalized Medicine, Hybrid AI Systems, Generative AI, Rule-Based Expert Systems, Symptom Checker, Multimodal Medical Analysis, Multilingual Voice Interfaces, Clinical Decision Support, Digital Health Platforms
Cite Article:
"AI –Driven Personalised Medicine: Enhancing Healthcare ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b243-b248, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512132.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator