Skip to content
Omdena

Local Chapter project

Reducing Car-Hijacking in South Africa Using Machine Learning

NLPMachine Learning
Start date
October 14, 2022
Finish date
December 12, 2022
Project status
completed
Reducing Car-Hijacking in South Africa Using Machine Learning

Challenge background

Reports from South African Police show that car hijacking has been on the increase since April 2022 and June 2022. Can we reduce this problem by analyzing social media reports about stolen cars with machine learning highlighting hotspot areas of crime? By making this information available to security stakeholders, we hope to reduce response time to car hijacking and car hijacking itself.

Project timeline

  1. 1

    Week 1

    data collection from twitter

  2. 2

    Week 2

    data cleaning

  3. 3

    Week 3

    data preprocessing

  4. 4

    Week 4

    modeling

  5. 5

    Week 5

    comparing models

  6. 6

    Week 6

    result and visualisation

  7. 7

    Week 7

    presentation

  8. 8

    Week 8

    project wrap-up

What you'll learn

data analysis, modeling textual data, communication, team work

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

Other Local Chapter projects