Selene-SCM v0.1.0-alpha - Early Research Build

Overview

Selene-SCM (Symptom Classification Model) is an early-stage machine learning project that predicts potential health conditions based on user-entered symptoms.
This alpha release represents the initial working prototype for testing and research use.

What’s Included

• Random Forest classifier (scikit-learn)
• Modular training and prediction pipeline
• CLI interface for real-time predictions
• Example dataset and output run

Development Status

This is an alpha release, intended for demonstration, testing, and academic use.
It is not production-ready and may undergo significant restructuring in future versions.

Planned Improvements

• Add Flask web interface
• Explore XGBoost and probabilistic reasoning
• Improve dataset realism and balance
• Extend temporal symptom modeling

License

Released under the GNU GPL v3.0.