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alzheimer-prediction's Introduction

Description:

  • Developed an application aimed at predicting Alzheimer's and its type using MRI image
  • Utilized FastAPI as the central framework to expose prediction APIs, serving as the core intelligence of the application

Achievements:

  • PyTorch implementations of ResNeXt and EfficientNet (from scratch) on the Alzheimer MRI Dataset
  • Achieved a validation accuracy of 98.90% and training accuracy of 99.10% in 20 epochs using ResNeXt50.
  • Developed a training pipeline for developing highly customized solutions to custom tasks with logging.
  • Containerized FastAPI application using Docker and deployed on Render.

alzheimer-prediction's People

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