Description: A Novel Machine Learning-Based Diagnostic Tool for Eye Diseases
Date: August 2020 - April 2021
Developed a machine learning-based diagnostic tool capable of recognizing eye diseases such as Cataracts, Diabetic Retinopathy, and Glaucoma with a 95% accuracy
Developed an implementable business plan that received district, state, and international level recognition.
Pitched SnapSight to entrepreneurs and healthcare professionals working in ophthalmology.
Presented research at the district and regional levels to healthcare and technology professionals.
