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MedPredict AI

Medical Risk Prediction System

MedPredict AI evaluates a patient's medical risk from vital parameters (temperature, pulse, oxygen saturation, blood glucose, blood pressure). A logistic regression model reaches ~89% accuracy; the FastAPI backend exposes prediction endpoints, and the interface offers interactive visualizations plus an anomaly-detection module that flags out-of-range vitals.

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Technologies

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Key Features

Technologies Used

  • Python
  • FastAPI
  • scikit-learn
MedPredict AI

Key Features

  • Logistic regression model reaching ~89% accuracy
  • REST API built with FastAPI
  • Interactive data visualizations of vital parameters
  • Integrated anomaly-detection module