A web-based machine learning application to classify an infant's health status based on clinical parameters. Built with Streamlit, trained using Logistic Regression, and designed to assist in early-stage health assessments.
- ✅ Simple and intuitive web interface
- 🧠 Logistic Regression-based classification
- 📊 Input clinical parameters to get real-time predictions
- 💾 Model and scaler saved using
joblib
The dataset is included under datasets/ and is used to train the logistic regression model. Preprocessing and model training is documented in the Jupyter Notebook.
- Python 🐍
- Streamlit 📺
- Scikit-learn 🤖
- Pandas & NumPy 📊
- Jupyter Notebook 📓
Access the live app here:
👉 infant-health-classifier.streamlit.app