Reducing Car-Hijacking in South Africa Using Machine Learning

Local Chapter Hatfield, South Africa

Coordinated bySouth Africa ,

Temitope Kekere Kekere

Status: Completed

Project Duration: 14 Oct 2022 - 12 Dec 2022

Open Source resources available from this project

Github Repository Project Management Folder

Project 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.

The problem.

To reduce car hijacking by analyzing social media posts on report of stolen cars and model hotspot areas and cars in South Africa with machine learning

Project goals.

To collect social media data on Twitter on car hijacking and modeling data for hotspot areas and targeted cars using machine learning and natural language processing

Project plan.

  • Week 1

    data collection from twitter

  • Week 2

    data cleaning

  • Week 3

    data preprocessing

  • Week 4

    modeling

  • Week 5

    comparing models

  • Week 6

    result and visualisation

  • Week 7

    presentation

  • Week 8

    project wrap-up

Learning outcomes.

data analysis, modeling textual data, communication, team work

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