Lung Disease Detection Using Data Science

Local Chapter Alexandria, Egypt Chapter

Coordinated byEgypt ,

Status: Completed

Project Duration: 13 Mar 2022 - 14 Apr 2022

Open Source resources available from this project

Project background.

In partnership with GDSC, Egypt-Japan University of Science and Technology, I agreed with the team to run a project to get college students introduced to data science. Thus, the aim is to educate students on:

1. Collecting datasets
2. Modeling
3. Web Deployment

The problem.

In this 4-weeks project, the goal is to expose students to building models for lung disease detection. They will start with data collection all the way through deployment.

Project goals.

Partnership goals:- Promote Omdena through GDSC - Network with other communitiesLung disease detection:- Check whether a CT scan of the lungs to check the existence of the disease - Semantic segmentation of the disease - Web Deployment

Project plan.

  • Week 1

    Data collection

  • Week 3

    Web Deployment

  • Week 4

    Final deliverables

Learning outcomes.

– Data Pre-processing
– Supervised learning models and Unsupervised learning models
– Interactive Graphs and Dashboard.

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