Healthcare accessibility along with real-time patient surveillance persist as essential problems in healthcare delivery today because conventional systems do not feature constant patient observation along with AI assessment capabilities. This research develops a smart healthcare monitoring framework that uses voice-operated artificial intelligence diagnosis techniques together with automatic vital sign measurements. Real-time and inclusive healthcare access remains a persistent challenge, especially in linguistically diverse and underserved populations. Existing systems often lack continuous monitoring, multilingual interfaces, or user-friendly accessibility. This paper proposes a multilingual, voice-enabled Smart Health Monitoring System (AI-SHMS) integrating Fast API backend, React frontend, and Google Gemini AI for natural language voice interaction. It enables automated BMI calculation, blood pressure monitoring, and personalized health recommendations. AI-SHMS achieved 98% evaluation accuracy, real-time alerting, and multi-platform integration. Real-time data processing, secure data handling via JWT, and sentiment analysis support high usability. The system enhances healthcare accessibility via multilingual voice interaction, real-time diagnostics, and predictive analytics. Future improvements include wearable integration and genetic-based personalization.

AI-SHMS demonstrates that combining multilingual voice interaction with predictive analytics and real-time monitoring provides a scalable and inclusive healthcare model. Future work will involve: IoT integration Genomic personalization Expansion to 20+ languages Integration with national health databases Its application is focused with efficiency in booking appointments and in the total and optimal use of our healthcare resources, the creation, construction and execution of the system known as the AI Smart Health Monitoring System is a huge leap forward in health informatics. Thus, a general conclusion can be made in regard to the development of the AI Smart Health Monitoring System and its application. When used with the React architecture, Material-UI was proven to offer support for a reliable and user-friendly healthcare management tool. The AppointmentBooking component has been successfully implemented with a rigorous highly detailed process carried through multiple steps and an efficient tool for managing the state, which was instrumental in solving significant issues related to the accessibility of healthcare and the efficient use of health resources.

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