Incubation Software: AI/ML based Prediction & Dashboarding for Medical Practitioners


  • Development of a deployable AI/ML app that will predict the probablility of being infected with a virus based on various parameters obtained from blood test !
  • Importantly being able to explain AI based diagnosis with Explainable AI (XAI) technologies !


By developing machine learning strategies in order to effectively build a machine learning model involving huge amount of medical data. The following key technologies were used to achieve the objectives:

  • Streamlit for UI/Dashboard
  • Azure / Heroku clouds for app deployment
  • Python for the development of predictive maintenance app
  • Shap XAI for AI explainability & to boost confidence and trust
  • Regression algorithms for building medical AI models
  • XGBoost / Scikit-Learn frameworks for experimenting/building machine learning models
  • Azure PostgreSql & Blob Storage for maintaining medical data & AI artifacts
  • Docker for application isolation towards deployment
  • Gitlab CI/CD for continuous integration & continuous deployment

May I see it ?

The following video shows a minimal version of the AI based medical diagnosis dashboard.