Skin Disease and Condition Detection using Computer Vision and Machine Learning
This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by Nairobi, Kenya Chapter.
The problem
The lack of accessible and accurate skin disease detection mechanisms in Kenya results in delayed diagnosis, inadequate treatment, and unnecessary suffering for patients. Traditional diagnosis methods are often error-prone, leading to misdiagnosis and ineffective treatments. The proposed project aims to address this issue by leveraging computer vision and machine learning techniques to develop an AI-powered skin disease detection system.
The goals
- Accurate Diagnosis: Develop a computer vision model that can accurately identify common skin diseases and conditions based on images provided by users.
- Accessibility: Create a user-friendly mobile or web application that allows individuals to upload images of their skin conditions for rapid assessment.
- Education and Awareness: Integrate educational resources within the application to inform users about various skin diseases, their symptoms, and preventive measures.
- Data Collection: Collect a diverse dataset of skin disease images representative of the Kenyan population for training and validation purposes.
- Community Engagement: Foster collaboration between Omdena local chapters, medical professionals, and technology enthusiasts to address a pressing healthcare issue collectively.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
First Omdena Local Chapter Challenge?
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
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
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