Research Article
AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance
@INPROCEEDINGS{10.1007/978-3-031-77075-3_19, author={Ganesh Venkata Sundar Talla and Toram Rajeev Akhil and Surendra Thatikonda and Tarun potnuru and Chirravuri Surya Naga Sai Lalitha and Sridevi Bonthu}, title={AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance}, proceedings={Cognitive Computing and Cyber Physical Systems. 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5--7, 2024, Proceedings, Part-I}, proceedings_a={IC4S}, year={2025}, month={2}, keywords={Glaucoma Convolutional Neural Networks (CNNs) Transfer Learning Personalized Medical Advice Vision Loss Prevention}, doi={10.1007/978-3-031-77075-3_19} }- Ganesh Venkata Sundar Talla
Toram Rajeev Akhil
Surendra Thatikonda
Tarun potnuru
Chirravuri Surya Naga Sai Lalitha
Sridevi Bonthu
Year: 2025
AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance
IC4S
Springer
DOI: 10.1007/978-3-031-77075-3_19
Abstract
This project addresses the global health challenge posed by glaucoma through the development of an innovative Python-based application. Utilizing advanced machine learning techniques, specifically the VGG16 model with transfer learning, the application aims to enhance glaucoma diagnosis and management. By automating glaucoma severity classification into distinct categories, including NoDR, ProliferateDR, Mild, Moderate, and Severe, the application provides personalized medical advice tailored to the predicted severity . The user-friendly interface, powered by the Tkinter library, enables individuals to upload eye images for real-time analysis, empowering them to actively monitor their eye health. Through early detection and informed decision-making, the application strives to slow down the progression of glaucoma and enhance overall quality of life. This project exemplifies the intersection of technology and healthcare, promising to positively impact lives by promoting early awareness and proactive glaucoma management.
