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Disease Detection using AI and IoT

Kalyan Bamane, Manjeet Singh, Divyanshu Singh, Ruchita Patil, Vishakha Nikumbh

Abstract


Now a days health monitoring has become a crucial part of human lifestyle. Machine learning models can help us in predicting the disease beforehand for us and help us to fight it efficiently. Taking the capability of IOT technology into account, it is possible to overcome the difficulties. A raspberry pi powered device which will take the help of various ML algorithm to help us identify heart disease, diabetes disorder, skin disease. This device will take the help of various sensors like heart rate sensor, ECG sensor, camera module etc. to reduce the human intervention and give accurate input to the ML models for them to predict the result with more accuracy. These devices may increase the chances of surviving from unexpected diseases. This project is an innovative project as there is no existing system making the use of machine learning and IOT together for detecting a disease. This system can become a base for new system to come up which can detect and alert the user of their health problem at an early stage so that they can take proper consultation at the earliest. This system could help save human life by detecting the disease at an early stage.

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References


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