The first model to predict common skin diseases in Indonesia such as: Biduran, Bisul, Cacar Air, Jerawat, Kurap, dan Panu.
The second model is to provide recommendations for medicine or ointment for predicted skin diseases. This recommendation contains: recommendations for medicine/ointment, how to use it, and how to treat the skin disease.
This project utilizes several Python libraries for data handling, machine learning, and visualization:
| Library | Purpose |
|---|---|
| pandas | Facilitates data manipulation and analysis with data frames. |
| numpy | Enables efficient numerical computations and array operations. |
| scikit-learn | A machine learning library for training models. |
| tensorflow | An open-source machine learning framework for building and training models. |
| keras | High-level neural networks API, integrated with TensorFlow for easy model construction. |
| matplotlib.pyplot | Used for creating visualizations, plots, and charts in Python. |
| seaborn | Used for creating visualizations, plots, and charts in Python. |