How to test classification model with real time data with some features???

I have test my classfication model with offline data it gives accuracy around 80% but now i want to test it with real time data and i have no clue about it .My offline test data is a feature file now how extract feature in real time and then how to test classification model . If anybody knows about it then please help me.
Thanks in advance

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How will the data be delivered to you in realtime ?
Perhaps your program will need to call an API to request for new data ?
I read data using arduino but i face a probem with read data in matlab using arduino . When i import data in matlab using arduino i got different values of sensor data and i want to take 5000 samples but it import very less values .If you have any idea about my problem then please help me .
Thanks in advance
Hi Nilima,
Did you manage to solve your problem? Im facing the same problem..

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