Overview / Usage

the project is based on solving real time problems in the isolated parts of the world where less knowledge on water quality, where waters such as household grey water, resort or other small scale industries grey waters get contaminated with Ground water . this project was built on kaggle data set where we could predict the amount of ecolli bacterias present in the water, this will help us how good the quality of water is

Methodology / Approach

1.collecting data from sensors such as tds, ph, turbiditty, water temperature & other
2.seding the data through a flask server to ml model & duplicating the same data & sending it to fire base
3. the ml model output also should be sent to the fire base
4. all the datas from the firebase should be displayed on the dashboard
(project - https://www.kaggle.com/code/zengamer/water-quality-index)

Repository

https://www.kaggle.com/code/zengamer/water-quality-prediction