Developed a machine learning web app to predict water potability based on chemical and physical properties.
Stack:
- Model: Logistic Regression
- Backend: Flask API
- Frontend: React interface
Highlights:
- Used features like pH, hardness, and conductivity for prediction.
- Achieved a high classification accuracy while reducing false postives.
- Created a seamless interface enabling instant safety checks.
Outcome:
Allowed non-technical users to easily assess water safety through an intuitive ML-powered web tool.
