PFAS Sentinel
6.7
A web application utilizing machine learning to predict the presence and concentration of PFAS ('forever chemicals') in water sources and soil based on geographical data, industrial activity, and historical records, providing early warning systems and remediation planning tools.
150h
mvp estimate
6.7
viability grade
1
views
technology stack
Python
Medium
PostgreSQL
inspired by
Cleaning up PFAS