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Assignment Solution in Python using NodeTS for backend for the detection and classification of diabetic retinopathy. This assignment was a part of KGEC's curriculum for ECE.

License: MIT License

Python 0.01% TypeScript 0.28% CSS 31.91% JavaScript 66.39% EJS 1.40%
assignment cnn machine-learning nodets python website

ec881--assignment's Introduction

EC881--Assignment

This assignment was a part of KGEC's curriculum in ECE.

Subject Description

The object of Project Work II & Dissertation is to enable the student to extend further the investigative study taken up under EC P1, either fully theoretical/practical or involving both theoretical and practical work, under the guidance of a Supervisor from the Department alone or jointly with a Supervisor drawn from R&D laboratory/Industry. This is expected to provide a good training for the student(s) in R&D work and technical leadership.

The assignment to normally include:

  1. In depth study of the topic assigned in the light of the Report prepared under EC P1;
  2. Review and finalization of the Approach to the Problem relating to the assigned topic;
  3. Preparing an Action Plan for conducting the investigation, including team work;
  4. Detailed Analysis/Modelling/Simulation/Design/Problem Solving/Experiment as needed;
  5. Final development of product/process, testing, results, conclusions and future directions;
  6. Preparing a paper for Conference presentation/Publication in Journals, if possible;
  7. Preparing a Dissertation in the standard format for being evaluated by the Department.
  8. Final Seminar Presentation before a Departmental Committee.

About the project

In this project we build an application for the identification and classification of diabetic retinopathy from fundus images of human eyes.

Instructions to get a local running copy of the project

First-time installation

  • Clone this github repository
  • Create a .env file with PORT MONGO_URI JWT_SECRET JWT_EXPIRY
  • Create a python virtualenv
  • Activate the virtualenv
  • Run pip install -r requirements.txt
  • Run npm install

Running the web application

  • Activate the virtualenv
  • Run npm run start

The web application will now be running at the defined port which you specified in your .env file

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