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View Code? Open in Web Editor NEWELEC5622 project. Healthome.
ELEC5622 project. Healthome.
Implement classification with machine learning technology.
Test convert
Code the backend part so that the data can be updated or added to the database.
Design and create database to store user's profile data.
Design and implement the database for the user to view their profile details.
Design and implement the interfaces for the user to login.
Design and implement the database for the prediction dataset.
Design and implement the inter face for user to register.
Design and implement the database for the user to input their body status.
Train the classification machine with data from Pima data.
Code the backend to communicate with existed database to get user's history record of diabetes prediction.
Code the backend part so that the data can be analysed on the server and the result can be send to the client.
Code the backend so that the server can check if the user has already registered on the server.
Embedded sensors to the Arduino board which can test some health status.
Implement the communication between Arduino board and cloud server.
Code the backend so that user's data of registration can be added to the database.
Design and implement the interface for user's history record.
Code the backend part so that the user can get data from the database.
Design and implement interface for the user to view their analysis result.
Embed the internet connection model to the Arduino board.
Design and implement the interface for user to view their profile details.
Design and implement interfaces for the user to input their health data.
Collect the data from the board which tested by the sensors.
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