Deployement-of-Automatic-Water-Quality-Prediction-System-on-Streamlit-Cloud. The project aims to develop the classification model that can label any new water sample as either safe or unsafe for drinking based on the parameters such as aluminium, ammonia, fluoride, chromium, copper and bacteria with high accuracy.

Problem

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Audience

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Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.