Projects / Local Chapter Challenge

[Kenyan Chapter] Improving Access to WASH Services for Displaced and Vulnerable Communities

Challenge Started!


Featured Image

This Omdena Local Chapter Challenge runs for 5 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 the Omdena Ruiru, Kenya Chapter.

The problem

Improve access to WASH services (Water, Sanitation, and Hygiene) for displaced persons and vulnerable host communities to reduce susceptivity to waterborne diseases and improve livelihoods. More than one million people have been displaced in the region of focus.

Strengthen livelihoods and resilience among households and increase sustainable access to WASH services.

The goals

The goal of the project is to cover the current infrastructure situation of WASH services.

The data

  • Have a few surveys, reports, and other data sources but no centralized data pool
  • No experience with satellite imagery (but open to exploring)

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

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



This challenge is hosted with our friends at
Logo


Application Form
Thumbnail Image
Accurately Identifying Crop Types Using Remote Sensing and Machine Learning
Thumbnail Image
Detecting Microorganisms in Water Using Deep Learning
Thumbnail Image
Skin Disease and Condition Detection using Computer Vision and Machine Learning

Become an Omdena Collaborator

media card
Visit the Omdena Collaborator Dashboard Learn More