ABSTRACT

• Cardiovascular disease is one of the most fatal conditions in the present world.
• In under a minute, an artificial intelligence program can take a picture of the back of a person’s eye and by analyzing the strength of the blood vessels that feed the retina find clues that may point to higher risks of a stroke or heart attack.
• A unifying goal of work like this is to develop new disease detection or monitoring approaches that are less invasive, more accurate, cheaper and more readily available.
• However, one restriction to potential broad population-level applicability of efforts to extract biomarkers from fundus photos is getting the fundus photos themselves, which requires specialized imaging equipment and a trained technician.

EXISTING SYSTEM

• Very few systems use the available clinical data for Classification purposes and even if they do ,they are restricted by the large number of association rules  that apply.
• Diagnosis of the condition solely depends upon the Doctors’s intuition and patient’s records.

DISADVANTAGES

• Detection is not possible at an earlier stage.
• In the existing system, practical use of various collected data is time consuming .

PROPOSED SYSTEM

• We have developed an artificial intelligence (AI) system that can analyze eye scans taken during a routine visit to an optician or eye clinic and identify patients at a high risk of a heart attack.
• Changes to the tiny blood vessels in the retina are indicators of broader vascular disease, including problems with the heart.
• The training data is trained by using proposed machine learning algorithm RNN classification clustering and Adaboost. algorithm is explained in detail.
• High performance and accuracy rate.
• RNN Classification is very flexible and is widely in various domains with high rates of success.

PROJECT VIDEO

Software Requirements:

• Front End – Anaconda IDE
• Backend – SQL
• Language – Python 3.8

Hardware Requirements

• •Hard Disk: Greater than 500 GB
• •RAM: Greater than 4 GB
• •Processor: I3 and Above

Including Packages

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• * Base Paper
• * Complete Source Code
• * Complete Documentation
• * Complete Presentation Slides
• * Flow Diagram
• * Database File
• * Screenshots
• * Execution Procedure
• * Readme File
• * Addons
• * Video Tutorials
• * Supporting Softwares

Specialization =======================

• * 24/7 Support * Ticketing System
• * Voice Conference
• * Video On Demand 
• * Remote Connectivity
• * Code Customization
• * Document Customization 
• * Live Chat Support

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