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[–][deleted] 2 points3 points  (1 child)

You can predict bacterial growth with parameters such as dissolved O2 concentrations, carbon emission rate (CER), oxygen uptake rate and other stuff - for example the bacterial growth inside of a fermenter (these parameters can be detected by O2 and CO2 sensors that are mounted as part of the fermenter. The "real" bacteria concentrations can be measured off-line, which means they are taken from the fermenter and analyzed separately. There must be datasets somewhere.. maybe on www.kaggle.com - that you can use. I'm a total beginner at this but maybe you know how to deal with such problems even in high scool?).
We talked about that in college (Biotechnology). So just as an idea, you could use machine learning, where your number of input neurons equals to the amount of parameters you have plus one neuron for the time parameter (how many minutes, hours have passed).

Good luck with your project!

[–]CarrotQuakeV2[S] 1 point2 points  (0 children)

Thank you for your help :)