Built a prototype to detect milk adulteration using conductivity + pH sensors — looking for feedback
Side project: a small handheld device using electrical conductivity, pH, and a few other sensors to flag common adulterants — water dilution, urea, detergent.
Early results are promising for water dilution and urea. Detergent is harder — signal overlaps with natural variation more than expected.
Practical questions: anyone dealt with sensor drift in food/liquid sensing projects? Better self-calibration approach than calibrating against known samples?
Also genuinely curious — do you think there's real consumer demand for this, or is this a solution looking for a problem? #diy