Challenge background
According to the partnership agreement that took place between Omdena, Alexandria, Egypt chapter and Google Developers’ Club of Alexandria University, we would like to launch this project to introduce the community of the university to Omdena challenges.
The problem
In this 4-weeks project, the goal is to educate the students of Alexandria university to build and deploy deep learning projects through an Omdena challenge. The team is supposed to use deep learning for skin cancer detection. They will start the process from a scratch as most of them are novice to this field. Thus, they will be guided through the whole process by the chapter lead.
Goal of the project
To help college students build and deploy deep learning models. They will start the process by data collection, annotation, modeling, and deployment. Project outcome:
- Hands-on experience.
- Building a deep learning model for skin cancer detection.
- Deployment.
Project timeline
- 1
Week 1
- Data collection - Annotation
- 2
Week 2
- Modeling
- 3
Week 3
- Data Collection - Modelling - Deployment
- 4
Week 4
- Deployment - Project presentation
What you'll learn
1. Data Pre-processing
2. Deep learning with Python
3. Supervised learning models and Unsupervised learning models
4. Deployment