Developing an Automated Water Quality Prediction System Using Machine Learning

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Kigali, Rwanda Chapter.

The problem

Access to clean water is a critical challenge in many parts of the world, including Rwanda. Water quality prediction is important for ensuring the availability of safe and clean water for drinking, agriculture, and other purposes. However, traditional methods for water quality prediction are often time-consuming and costly, and they may not provide accurate and timely information. To address this challenge, the Omdena Rwanda Chapter has initiated a project to develop an automated water quality prediction system using machine learning.

The goals

In this project, the Omdena Rwanda Chapter aims to develop an accurate and efficient machine learning model that can predict water quality based on a range of parameters such as Electrical conductivity of water, Amount of organic carbon in ppm, Amount of Trihalomethanes in μg/L, and turbidity. The model will be trained on a large dataset of historical water quality data and will be designed to provide predictions for water quality.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work