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Local Chapter project

TrashOut: Identifying Dumpsites in Tanzania to Contribute to a Cleaner World Using AI

Machine LearningData AnalysisEDA
Start date
June 4, 2023
Finish date
August 2, 2023
Project status
completed
TrashOut: Identifying Dumpsites in Tanzania to Contribute to a Cleaner World Using AI

Challenge background

Illegal waste dumping is a growing worldwide problem that affects millions of people around the world. It is one among many global challenges today and solving illegal dumping is critical for achieving the societies well being. Identifying illegal dumpsites will help to make our towns and cities cleaner in a sense it will enable people to live a happy and healthy life.

The problem

The challenge will help to solve the problem of illegal dumpsites thereby helping reduce the number of illegal dumpsites and help our community live in cleaner surroundings and fight global climate change.

Goal of the project

In this project, the Omdena Kagera Chapter aims to develop an AI model that will help identify illegal dumpsites. The project's primary is to identify the location of illegal dumpsites.

Project timeline

  1. 1

    Week 1

    Data Collection and Exploratory Data Analysis

  2. 2

    Week 2

    Preprocessing

  3. 3

    Week 3

    Feature Extraction

  4. 4

    Week 4

    Model Development

  5. 5

    Week 5

    Model Training

  6. 6

    Week 6

    Evaluate Model

  7. 7

    Week 7

    App development

  8. 8

    Week 8

    App refinement

What you'll learn

  1. Data collection and analysis
  2. Machine learning skills
  3. Project management

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.

This challenge is hosted by