Implementing Machine Learning and Matter
A nice project to start implementing Machine Learning and Matter
The best way to getting introduced to new technologies is to play with them. Machine Learning and Matter can be difficult to understand, but perhaps with this example it might be easier.
Ashok R. from Bangalore wanted to develop a device, a ‘bot’ to monitor the condition of the water in his home overhead tank. The result is ‘float bot’, a real life implementation of the best of Nordic Semiconductor, ZephyrRTOS, Matter and Edge Impulse.
There are the schematics and electronics, the 3d print designs etc, but what this project really interesting makes is the Matter and Machine learning implementation. If you are looking for a introduction in these two interesting areas, this project might be interesting to research.
Find the write up of this project at Hackster.IO
All the other work from Ashok can be found at his website https://www.ashokr.com/
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