The Purdue Research Foundation (PRF) has created a biosensor that responds to differing levels of arsenic and mercury in a water sample. The biosensors turn pink in the presence of the heavy metals, with higher concentrations leading to higher color intensity. Due to the difficult nature of discerning small color changes, the project needs some automated method of predicting concentrations. Our goal was to create an application that could predict the concentrations of heavy metals by using a photo recognition algorithm created by the PRF team.
Problem Statement/Summary:
Create an iOS application that can take pictures, then pass them to a Python script to predict concentrations of arsenic and mercury, then return the results to the user.
MS Teams Meeting Link:
https://teams.microsoft.com/l/channel/19%3a01a2815bbbed4cbc9ee4c00edd643e21%40thread.tacv2/General?groupId=0194fe9d-2849-44e8-bac2-e7094a5e26f4&tenantId=4130bd39-7c53-419c-b1e5-8758d6d63f21
Project Department:
SOET