M-Stock: AI-Based Photography Assessment System using Convolutional Neural Networks

M-Stock (Mae Fah Luang University Photo Stock), an AI-driven automated photo evaluation platform designed to support student learning in photography by providing real-time feedback on both technical and artistic elements of their work. Using Convolutional Neural Networks (CNNs) Author: Assistant Professor Surapol Vorapatratorn, Ph.DOrganization: Center of Excellence in Artificial Intelligence and Emerging Technologies School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai, Thailand To start web service1.Run runStreamlit.bat File descriptionHome.py => Home pageweb.config => Streamlit's PathTrain_800.ipynb => Training model in Jupyter notebook file Directory descriptionimage => Website imagemodel => model locationpages => each python web page temp_dir => user upload file locationtrain_dir => training set