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Local Chapter project

Addressing the Issue of Pipe-Borne Water Availability in Lagos, Nigeria

Computer Vision
Start date
August 20, 2022
Finish date
September 17, 2022
Project status
completed
Addressing the Issue of Pipe-Borne Water Availability in Lagos, Nigeria

Challenge background

Inadequate pipe-borne water supply in Lagos, Nigeria, can be attributed to leakages in pipes, a poor road water supply network system, and a lack of maintenance culture.

The problem

Impact:

  • To investigate issues with and potential remedies for pipe-borne water access.
  • To assist the government in redesigning the best road network for the pipe-borne water network system.
  • To assist the government in locating pipe-borne water leaks in the water supply network.

Goal of the project

  • Recognizing the difficulties in providing pipe-borne water.
  • Identifying areas with/without access to pipe-borne water.
  • Understanding the road network to access the pipe-borne water system.
  • Identifying potential solutions for pipe-borne transportation system

Project timeline

  1. 1

    Week 1

    Data collection

  2. 2

    Week 2

    Data Preprocessing

  3. 3

    Week 3

    Feature Engineering

  4. 4

    Week 4

    Data visualization

  5. 5

    Week 5

    Building Machine Learning Models

What you'll learn

Data collection, Data Preprocessing, Feature Engineering, Data visualization, Building Machine Learning Models

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.