Advanced Image Recognition System for Healthcare Diagnosis

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About Course

  • Tech Stack: Python (PyTorch, TensorFlow), Flask, Docker, GCP (AI Platform, BigQuery), Kubernetes
  • Objective: Build an image recognition model using deep learning for healthcare diagnosis (e.g., detecting diseases from X-ray or MRI scans). The model will be deployed as a cloud-based API, where healthcare providers can upload images and get real-time diagnoses.
  • Skills Needed: Deep learning (CNNs, TensorFlow/PyTorch), healthcare image data (X-rays, MRIs), cloud-based model serving, Docker/Kubernetes for scalable deployment, API development.

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