Built a ML powered MFC Biosensor.

So in the past few days, I have successfully created the machine learning side for my biotech project.

Also, I have completed the data collection setups, which will continue to collect data in the future few months automatically.

This Ml powered biosensor is a bit different, it uses voltage AND temperature as variables to predict future voltages. Any anomaly is flagged.
I am using a nearest neighbour model to compare patterns and predicting.
Hence solving one of the biggest problems with biosensors, not knowing if a voltage drop is caused by time of day or actual toxic event.

I’ll son start working on the documentation, tho i already have a pretty detailed information document and 12-13 python files for prediction ready, I will -crate a structured git page soon.

You can see in the screenshot that its predicting, and its accuracy is a bit low because the biofilm hasnt yet been established, once it does, above 95% accuracy is predicted.