PREDICTIVE MODELING SYSTEM FOR DIABETES USING MACHINE LEARNING INTEGRATED WITH A VOICE / AUDIO ASSITANT
Abstract
This study focuses on developing a predictive modelling system for diabetes using machine learning techniques integrated with a voice/audio assistant to enhance accessibility and usability. The system utilizes machine learning algorithms to analyze relevant health data and predict the likelihood of diabetes, while the voice-enabled interface provides an intuitive and user-friendly way to interact with the system. By leveraging the power of machine learning and voice technology, this system aims to improve diabetes diagnosis and management, particularly for individuals with limited technical expertise or accessibility challenges. The outcome of this project is expected to be a reliable and user-friendly predictive modelling system that can facilitate early detection and prevention of diabetes.
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