Summary The objective of the project, is  the development of an smartphone-based spectral fundus camera for automated diagnosis of the eye fundus. The goal is to create a handheld, cost-efficient and easy-to-use device that will work in the visible and near infrared ranges. Machine learning techniques will be applied for automated diagnosis. This project is intented to offer a practical and accurate tool for a better discrimination of pathological alterations in the fundus even at early stages.