This project presents an automated system for diabetic retinopathy detection using MATLAB. It details the project's budget, including hardware, software, and other costs, alongside a comprehensive project schedule outlining tasks, durations, and dependencies. Risk management strategies are identified, addressing potential issues such as faulty hardware or pirated software. The project also delves into the legal, social, ethical, and sustainability aspects, emphasizing patient awareness, ethical considerations in data handling, legal compliance regarding software usage, and the importance of a sustainable and cost-effective design for clinics. The project aims to improve early detection of diabetic retinopathy, considering the implications of using new technology in a medical context. The project also includes a project schedule, risk management plan, and discussion of ethical considerations.