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An AI-powered web application that predicts possible diseases based on symptoms provided by the user using machine learning classification algorithms. This project applies Python, Scikit-learn, and Flask to create a lightweight and interactive health assistant- By madhuragolu

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Codeunia/MediAI-Disease-Predictor

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🧠 MediAI – Disease Predictor

A Machine Learning-based web application to predict potential diseases based on user-inputted symptoms.

📌 Objective

Build a reliable AI assistant to assist users in identifying possible illnesses by inputting symptoms. This can help users decide whether to consult a medical professional based on predicted conditions.


🔧 Tech Stack

  • Python
  • Flask
  • Scikit-learn
  • Pandas, NumPy
  • HTML/CSS
  • Bootstrap (optional for styling)

🚀 Features

  • Input common symptoms via UI
  • Disease prediction using ML models (e.g., Decision Tree, Naive Bayes)
  • User-friendly interface
  • Lightweight and fast
  • Customizable disease dataset

👩‍💻 Contributor

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An AI-powered web application that predicts possible diseases based on symptoms provided by the user using machine learning classification algorithms. This project applies Python, Scikit-learn, and Flask to create a lightweight and interactive health assistant- By madhuragolu

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