BioBrick

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.

Biosensor research round 2 prep.

I’m working on a biosensor, right now i’ll begin round 2. So i built it’s electronic logging system today. It logs temperature and voltage of three different setups. I’m trying to solve one of the biggest problems with MFC biosensing, the temperature problem. So I plan on building a machine learning algorithm after this research.

For research, i’ve collected pond dirt and water, three identical tubs and different electrode material to test. The electronic setup will log data in a google sheet. In my round 1 of research, I did the same but with industrial materials as well, to test charcoal’s viability, I logged voltages manually in round 1, but found many interesting findings that aren’t really on the net.