This study aims to develop and evaluate an artificial intelligence based application for the real-time assessment and management of Computer Vision Syndrome and Dry Eye Syndrome among individuals with prolonged digital screen exposure. CVS and DES are increasingly prevalent due to extensive use of computers and mobile devices, leading to symptoms such as eye strain, dryness, blurred vision, headaches, and visual fatigue, which adversely affect comfort, productivity, and quality of life.The proposed AI application will monitor user behavior and ocular indicators related to blink rate, screen usage patterns, and visual strain, and provide personalized, real-time recommendations to reduce symptom severity. The study addresses an existing research gap due to the limited availability of AI-based, user-friendly tools for continuous monitoring and early intervention in CVS and DES.The methodology involves human participants, with informed consent obtained, and does not include the use of human tissue or blood samples. Ethical considerations related to participant privacy, data security, and informed consent will be strictly followed. The expected outcome is a measurable reduction in CVS and DES symptoms, improved adherence to eye-health practices, and enhanced overall visual comfort through AI-driven monitoring and personalized management strategies.