Limited Time Offer! Flat 80% OFF on all source code.

Offer Valid Till

DATA-ANALYTICS Project

Eye Care Data Analysis Final Year Project Source Code

Get runnable Eye Care Data Analysis Final Year Project Source Code with database files, project setup instructions, live demo options and installation support. This project resource helps students understand the implementation, modules, workflow and technical architecture of a complete DATA-ANALYTICS project.

Eye Care Data Analysis Final Year Project preview

Hover to zoom · Click to expand

What's Included in Your Download

  • Complete Source Code

    Runnable project code with frontend & backend.

  • Database Files

    SQL database file and required resources.

  • Setup Instructions

    Step-by-step README and project setup guide.

  • Configuration Files

    All configuration files and dependencies included.

  • Module Explanation

    Understand key modules and project workflow.

  • Setup & Demo Support

    Installation help and live demo where available.

Choose the Package That Fits You Best

Simple pricing. Instant access. Secure checkout.

01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
Recommended

02 Code + Setup Support

₹248

One-time Payment

  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

Eye Care Data Analysis Project is a Python-based final year project developed for analyzing ophthalmology and ocular disease data using the ODIR-5K Ocular Disease Recognition dataset. This major project performs exploratory data analysis, patient demographic analysis, disease distribution analysis, gender-wise disease comparison, age-wise disease comparison, disease co-occurrence analysis, and machine learning based primary disease classification. The project supports Kaggle dataset download, manual Excel file loading, and sample data generation when the real dataset is not available. It compares machine learning models such as Random Forest, Gradient Boosting, and Logistic Regression using accuracy, F1-score, precision, and recall. This Eye Care Data Analysis source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, healthcare analytics, ophthalmology data analysis, and machine learning

Login Credentials

This project has no login credentials because it is not a web application.

Credential note:
No admin panel, user login, password, database authentication, or dashboard login module is included. The project runs locally as a Python data analysis script or Jupyter Notebook.