IOT Based ML Enabled Prediction and Notification System for Parkinson Affected People

Abstract

This find out about explores magnificently about the Parkinson affected patient. As clinical science astonishingly superior with the assist of Internet of Things we have advised a futuristic replica that comprehensively will be reveal and diagnose a Parkinson affected people. We have collected statistics over from many papers although it is a unique sickness but many of us don’t be aware of how to react to this and also don’t recognize if he/she bought hit by Parkinson and it would be extremely useful for them to use our alert system. And we use Machine Learning (ML) correctly for the detection of this disease. We have proposed a special method, architecture based IoT and Machine Learning (ML) that will notify the machine for affected people via a robotic system. As we comprehend such disease are for the elderly and also a non-curable disorder however taking action in the intervening time will by some means will assist them a lot with our detection machine. To improve this condition, we also used Logistic Decision Regression (LDR) with ML for early diagnose and enhance the excellent of existence for neighborhood affected people. We have to propose an IoT-based Parkinson disorder observation device with robotic envoy that will deliver integrally trade for affected person as for modern-day world we need a current treatment and we’ve proposed such mannequin as a supporting hand for affected community.