Reducing Car-Hijacking in South Africa Using Machine Learning

Start Date: October 14, 2022 | 4 years ago

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

data collection from twitter

data cleaning

data preprocessing

modeling

comparing models

result and visualisation

presentation

project wrap-up

What you'll learn

data analysis, modeling textual data, communication, team work

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

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

Application Form

Application Closed.