The aim of the project was to design and create a system for predicting the phototoxicity of substances in order to control the measured experimental data but also for the needs of predicting the phototoxicity itself in order to reduce the financial costs of 'wet' experiments. We analyzed the measured data on cell cultures, 3D models (tissues) and animals. Using molecular descriptors and machine learning algorithms, we can predict the phototoxicity of selected substances.