Try our Algorithm HERE!: https://colab.research.google.com/drive/1PmPmVAPHBIQSX81EIFuX0TZCqHyZCs1_#scrollTo=a-8d1uhaEm9p

Dataset Download:

• The dataset used in this project can be downloaded from the /final_project/ folder of this repository. (All paintings used in this repository came from a public domain and can be found on the references section of the notebook implementation)

Environment Setup:

• Ensure that Python is installed on your machine. If not, download and install the latest version of Python from the official Python website (https://www.python.org).
• Optionally, you can set up a Conda environment by installing Conda from the Anaconda distribution (https://www.anaconda.com/products/individual).
• Open a terminal or command prompt and create a new Python environment using the desired tool (e.g., conda create --name myenv or python -m venv myenv).
• Activate the newly created environment using the appropriate command (conda activate myenv or source myenv/bin/activate).
• Install the required libraries, packages, and modules by executing the following command: (The requirements.txt file can be found from this repository)

pip install -r requirements.txt

Here are some of the Results you will see in the notebook implementation:

Class Picture of the MSDS2023 Cohort with the different styles of Filipino Painters!

Upload Your Own Images and Explore the Different Styles of Renowned Filipino Painters!

This is in partial fulfillment of the course Machine Learning 3 for the completion of the Final Project.