Diabetic retinopathy (DR) is a common diabetic complication that affect eye causing damage
to the blood vessels in the retina. Chronic hyperglycemia, which may be due to diabetes type 1
or type 2.LabVIEW software play as major role in predicting the diabetic retinopathy at
different stages. The real time image of the affected eye is acquired using Vision Acquisition
tool in LabVIEW and then it is processed using Vision assistant tool. IoT technology is used
for sending the output result to the corresponding end client. Image processing and loT, both
are implemented using LabVIEW. This innovative solution leverages LabVIEW software to
predict diabetic retinopathy by acquiring real-time images of the affected eye and processing
them using LabVIEW's Vision Acquisition and Vision Assistant tools. IoT technology enables
the transmission of results to end clients efficiently. Additionally, the integration of
temperature monitoring allows for the detection of abnormal conditions, with a responsive
mechanism employing a Peltier crystal to cool the eye if necessary. The aim is to swiftly and
accurately classify patients' diabetic retinopathy status, crucial for timely intervention to
prevent vision loss. Hardware implementation using LabVIEW and the design of specialized
eyeglasses further enhance patient comfort and care by reducing eye irritation and pain.