Smart Eye Care System using Machine Learning

Different eye diseases are nowadays becoming the cause of vision impairment or total blindness if not detected and cured at early stages. Secondly it is a costly solution to visit an ophthalmologist and is time consuming. Smart Eyecare system is an android application which will be deployed for prov

Project Title

Smart Eye Care System using Machine Learning

Project Area of Specialization

Software Engineering

Project Summary

Different eye diseases are nowadays becoming the cause of vision impairment or total blindness if not detected and cured at early stages. Secondly it is a costly solution to visit an ophthalmologist and is time consuming. Smart Eyecare system is an android application which will be deployed for providing eye screening in remote areas where costly machines are not available. The application will provide detection of eye diseases like cataract, Retinoblastoma, Glaucoma and Diabetic Retinopathy. This application will also be helpful in conducting vision test. The system will also provide precautions of detected disease.

Project Objectives

• To detect eye diseases like Cataract, Glaucoma, Retinoblastoma and Diabetic Retinopathy at early stages
• To provide a cost-effective solution for disease detection and vision test
• To provide vision screening in underprivileged areas

Project Implementation Method

Android application platform is used to develop the application/system with following languages and technologies.

• JAVA (backend)
• XML (frontend)
• Data Collection (for training and testing machine learning model)
• Data preprocessing (Scaling and normalization)
• Model Training
• Model Testing

Benefits of the Project

• 24/7 availability of disease detection and vision test
• Cost reduction and accessibility.
• Screening in remote areas (rural areas)
• Efficient and optimum solution

Technical Details of Final Deliverable

Final deliverable includes the android application which will detect eye diseases like Cataract, Glaucoma, Retinoblastoma and Diabetic Retinopathy with the help of fundus photography done by mobile camera along with attached ophthalmic lens. Precautions regrading the detected disease will be provided also.

There is another module for conducting vision test which will show some predefined alphabet character of specific size. User will recognize and after 3 seconds user will choose from multiple options the character what he/she has recognized.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com