• Version
• Download 18
• File Size 544.63 KB
• File Count 1
• Published on 19 January 2025
• Last Updated 19 January 2025

EyeCare Defender Predicting Vision Health from Digital Insights

Mrs. P.Yamuna, Akhila Thalla, Kolavennupu Naga Venkata Praneeth, Lingala Vinay Kumar, Sangati Chaitanya

1 Assoc. Professor,     ACE Engineering College Hyderabad,   India       2Student,  ACE Engineering College Hyderabad, India 3Student, ACE Engineering College Hyderabad, India 4Student, ACE Engineering College Hyderabad, India 5Student, ACE Engineering College Hyderabad, India

Email pyamunaram@gmail.com  akhilathalla56@gmail.com ,    Kpnvpraneeth123@gmail.com vinayvinaykumar7913@gmail.com, chaithanyasangati123@gmail.com

 

 

 

ABSTRACT:

In an era dominated by digital devices, prolonged screen time has become a significant factor influencing vision health. The "Eye Care Defender Predicting Vision Health from Digital Insights" project leverages advanced data analytics and machine learning to predict and mitigate vision health issues arising from excessive digital device usage. By collecting and analyzing data on screen time duration, intensity, and usage patterns from smartphones, tablets, and computers, this system aims to identify early signs of eye strain and digital eye syndrome. The predictive model developed in this project utilizes comprehensive data inputs to generate personalized recommendations for users.

Download