Chronic Disease – Diabetes Prediction using IBM Cloud

This project uses a machine learning model deployed on IBM Cloud to predict the risk of diabetes based on patient health data (PIMA dataset).

🔧 Technologies Used

• IBM Watson Machine Learning
• IBM Cloud
• Python (Jupyter Notebook)
• PIMA Diabetes Dataset
• JSON API for predictions

🚀 Features

• Predicts diabetes risk using patient data
• Deployed model accessible via REST API
• Real-time testing with JSON input and output

🖼️ Screenshots

Screenshots of the project include:

• Model Training Summary
• Deployment Process
• Final Prediction Output

📎 Project Files

• 📝 Final PPT (IBM Project)
• 📄 JSON Test Output

📊 Example Prediction Output

[
  {
    "fields": ["prediction", "probability"],
    "values": [
      [1, [0.27, 0.72]],
      [1, [0.32, 0.67]],
      [0, [0.61, 0.38]],
      [0, [0.76, 0.23]],
      [0, [0.82, 0.17]]
    ]
  }
]

🔗 IBM Deployment Endpoint (for reference)

https://eu-de.ml.cloud.ibm.com/ml/v4/deployments/159d6a90-8e0f-4c42-a684-06077e317ef1/predictions?version=2021-05-01