Analyzing Brain Scan Images for the Early Detection and Diagnosis of Alzheimer’s Disease

This Omdena Local Chapter Challenge runs for 5 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 Toronto, Canada Chapter.

The problem

The goal of this project is to leverage the power of artificial intelligence, specifically machine learning and computer vision techniques, to analyze brain scan images for the early detection and diagnosis of Alzheimer’s disease, Parkinson’s disease, and Multiple Sclerosis.

Our aim is to create an AI model that can analyze these images, identify patterns that may be indicative of these disorders, and make predictions with high accuracy. The expectation is that such a tool could supplement existing diagnostic practices, providing a more objective and potentially earlier indication of these diseases. We believe that an accurate and efficient AI diagnostic tool can significantly improve the prognosis and quality of life for millions of patients globally.

The goals

• Accurate Identification
• High-Performance Metrics
• Efficient Processing
• Effective Training and Validation Process
• Optimized Model
• User-Friendly Deployment

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.

Read more on how Omdena´s Local Chapters work