MULTI-CLASS EYE DISEASE DETECTION USING DEEP LEARNING

Supervisor:

Asst.Prof. ASHWATHY NAINESH

Team Members

Abhinand C (STM20CS001)
Athul Sebastian (STM20CS022)
Visruth Ranjith Babu (STM20CS061)
V Pranav Madhu (STM20CS062)

Description

Statistics indicate that the number of people suffering from eye disease is
increasing day by day.
Glaucoma can affect the fundus of the eye and thereby cause gradual loss
of vision and, in severe cases, blindness.
User needs to upload fundus image .
It also detects cataracts,diabetic retinopathy.Also provides the details
about disease.
Image is deployed in cloud server.
Deep CNN and RNN algorithm based detection model.
The result is shown in an flutter based app.