Eye Care Data Analytics Final Year Project with Source Code | Source Code
LIMITED TIME
Get Source Code ₹99
Open Live Demo
Open Live Demo
Real project UI Full source included Opens in new tab

Tap to open live demo

Interactive live demo — verify the project before you buy

Eye Care Data Analytics Final Year Project with Source Code

Live Demo

Complete final-year project source code with frontend, backend, database, and setup guide. Instant download after secure payment.

  • DATA-ANALYTICS Stack
  • Instant Download
Secure CCAvenue payment Instant download link WhatsApp support

Choose your plan

Source Code Only

Full ZIP with frontend, backend, database & documentation.

₹99 one-time
  • Complete project source files
  • Database script included
  • How-to-run guide
Best value

Code + Setup Support

We install & configure the project on your laptop within 24 hours.

₹248 one-time
  • Everything in Source Code plan
  • Remote setup assistance
  • Run-ready in 24 hours

What's in your download

Review features, setup steps, and credentials before you pay.

Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

Eye Care Data Analytics is a Flask-based final year project developed for eye health screening, risk analytics, and eye care product management. This major project includes user-side and admin-side modules. Users can sign up, log in, reset password through Gmail, manage profile, complete eye screening questionnaires, view screening history, edit/delete same-day screenings, download reports in PDF/CSV format, browse brands and products, filter and sort products, add products to cart, checkout, view order history, submit feedback, raise support tickets, and view admin replies. Admins can manage users, brands, categories, products, stock history, screening records, risk rules, analytics, orders, refunds, feedback, support tickets, system settings, and audit logs. This Eye Care Data Analytics source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python Flask, healthcare analytics, eye screening, and product management.

Technical snapshot

Project
Eye Care Data Analytics Final Year Project with Source Code
Stack
DATA-ANALYTICS
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Ready to download?Pay once · Use for submission & viva

Admin Features

Modules and controls available to administrators

  • Admin login in this final year project
  • Admin dashboard
  • View user count
  • View screening count
  • View high-risk screening count
  • View product count
  • View order count
  • View ticket count
  • User management
  • View registered users
  • Activate users
  • Deactivate users
  • Reset user password
  • Delete users
  • Brand management
  • Add brand
  • Edit brand
  • Delete brand
  • Category management
  • Add category
  • Edit category
  • Delete category
  • Product management
  • Add product
  • Edit product
  • Delete product
  • Manage product stock
  • View stock history
  • Screening management
  • View screening records
  • Filter screening records
  • Export screening records as CSV
  • Edit screening rules
  • Edit screening weights
  • Analytics dashboard
  • Risk distribution analysis
  • Symptom frequency analysis
  • Screen-time correlation analysis
  • Age group report
  • Order management
  • View orders
  • Update order status
  • Mark order as refunded
  • Feedback management
  • View feedback
  • Ticket management
  • View support tickets
  • Reply to tickets
  • System settings management
  • Admin audit logs
  • Track admin actions

User Features

What end users can do in this application

  • User signup in this final year project
  • User login
  • User logout
  • Forgot password through Gmail
  • Profile management
  • View profile details
  • Update profile information
  • Eye screening questionnaire
  • Risk scoring based on answers
  • View screening history
  • Edit same-day screening record
  • Delete same-day screening record
  • Download screening report as PDF
  • Download screening report as CSV
  • Browse eye care brands
  • Browse eye care products
  • Filter products
  • Sort products
  • View product details
  • Add products to cart
  • Manage cart items
  • Checkout process
  • View order history
  • Submit feedback
  • Raise support tickets
  • View ticket replies
  • Access user-side healthcare tools
  • View personal eye screening records
  • View personal order records

Other Features

Additional capabilities included in the project

Eye Screening Features in this Final Year Project

  • Questionnaire-based eye screening
  • Risk scoring system
  • Screening history storage
  • Same-day edit support
  • Same-day delete support
  • High-risk case tracking
  • Screening report download
  • PDF report generation
  • CSV report generation
  • Admin screening filter
  • Admin screening export
  • Rule and weight management
  • Symptom frequency analytics
  • Screen-time correlation analytics
  • Age group screening report

Product and Order Features in this Final Year Project

  • Eye care brand listing
  • Eye care category listing
  • Product browsing
  • Product filtering
  • Product sorting
  • Cart management
  • Checkout workflow
  • Order history
  • Admin order view
  • Order status update
  • Refund status marking
  • Stock management
  • Stock history tracking
  • Product CRUD operations
  • Brand/category/product management

Analytics Features in this Final Year Project

  • User count analytics
  • Screening count analytics
  • High-risk case analytics
  • Product count analytics
  • Order count analytics
  • Ticket count analytics
  • Risk distribution report
  • Symptom frequency report
  • Screen-time correlation report
  • Age group report
  • Screening CSV export
  • Admin dashboard summaries
  • Healthcare decision-support analytics

Feedback and Support Features in this Final Year Project

  • User feedback submission
  • User support ticket creation
  • View replies from admin
  • Admin feedback review
  • Admin ticket review
  • Admin ticket reply
  • Support communication tracking
  • Service improvement feedback workflow

Database and Seed Data in this Final Year Project

Database:
SQLite by default:


 
eye_care.db

PostgreSQL support:
Can be configured using:


 
DATABASE_URL

Seed data created on first run:

  • Default admin account
  • Screening rules
  • 7 dummy users
  • 4 brands
  • 4 categories
  • 7 products
  • 8 eye screening records

Example dummy user format:


 
[email protected] / password123

Other Features in this Final Year Project

  • Complete Eye Care Data Analytics source code
  • Suitable for final year project, major project, and minor project
  • Project report content can be prepared from included modules
  • Flask web application
  • User authentication
  • Admin authentication
  • Gmail-based forgot password
  • Eye screening questionnaire
  • Risk score calculation
  • Screening report download
  • Product browsing
  • Product cart and checkout
  • Order history
  • Admin dashboard
  • Product stock management
  • Healthcare analytics
  • Support ticket system
  • Feedback system
  • Audit logs
  • SQLite database
  • PostgreSQL configuration support
  • Useful for viva, source code review, project report writing, and project demonstration

How to Run

Step-by-step setup on your laptop or PC

  1. Open terminal in the project folder:

    
 
    cd "eye-care-data-analytics"

  2. Install dependencies:

    
 
    pip install -r requirements.txt
  3. Configure Gmail for forgot password:
    • Create a Gmail App Password from Google Account settings.
    • Set environment variables.

  4. Windows environment setup:

    
 
    set [email protected]
set MAIL_PASSWORD=your-16-char-app-password

  5. Or configure mail settings in:

    
 
    config.py

  6. Run the application:

    
 
    python run.py

  7. Alternative run command:

    
 
    python app.py

  8. Open landing page:

    
 
    http://127.0.0.1:5000/

  9. Open user login:

    
 
    http://127.0.0.1:5000/auth/login
  10. Open admin login:

 
http://127.0.0.1:5000/admin/login

Login Credentials

Default demo accounts for testing after setup

Default Admin Account

  • Username: admin
  • Password: admin123

Dummy User Accounts
Example:

License

Usage terms for academic and personal projects

Related Tags

Search terms and categories for this source code

Eye Care Data Analytics Final Year Project with Source Code Source Code Final Year DATA-ANALYTICS Project Ready-to-Run Code With Database File Plagiarism-Free Faculty Approved final year project major project minor project source code project report Eye Care Data Analytics eye care management system eye health screening system eye screening project healthcare analytics project Flask healthcare project eye risk prediction project eye care product management product cart checkout system admin dashboard project PDF report project SQLite Flask project

Limited time Eye Care Data Analytics Final Year Project with Source Code — full source + Database File for ₹99

Recommended for you

Related & Popular Projects

Same stack · Instant download · Ready for submission & viva

View all DATA-ANALYTICS projects
Instant ZIP download Database File included Setup README All at ₹99

₹99 each · Instant ZIP · Database File included

Most picked

Eye Care Data Analysis Final Year Project with Source Code

<p>Eye Care Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing ophthalmology and ocular disease data using the ODIR-5K Ocular Disease Recognition dataset. This <strong>major project</strong> 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 <strong>Eye Care Data Analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, healthcare analytics, ophthalmology data analysis, and machine learning</p>

  • Source + DB
  • Viva ready
Most picked

Super Store Sales Analytics Final Year Project with Source Code

<p>Super Store Sales Analytics is a Python-based <strong>final year project</strong> developed for analyzing retail sales data and predicting sales using machine learning. This <strong>major project</strong> uses the Kaggle Superstore Sales dataset to perform exploratory data analysis, statistical summary, missing-value checking, correlation analysis, comparison visualizations, and sales prediction. The project generates multiple graphs such as sales by region, sales by category, monthly sales trend, sales vs profit, segment comparison, top sub-categories, correlation heatmap, and actual vs predicted sales graph. It uses Random Forest and Linear Regression models for sales prediction and evaluates model performance using R&sup2;, RMSE, and MAE. This <strong>Super Store Sales Analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, retail analytics, visualization, and machine learning</p>

  • Source + DB
  • Viva ready
Most picked Live demo

Olympic Games Data Analysis Final Year Project with Source Code

<p>Olympic Games Data Analysis is a Python Flask based <strong>final year project</strong> developed for exploring Olympic medal distributions, participation trends, and athlete performance using CSV/Excel datasets. This <strong>major project</strong> includes user-side and admin-side modules. Users can sign up, log in, manage profile, upload profile image, view datasets, preview datasets, select datasets for analysis, perform medal analysis, participation analysis, athlete search, age distribution analysis, generate bar charts, line charts, pie charts, save visualizations as PNG, create reports, add analysis results to reports, and download PDF reports. Admin users can manage project branding, datasets, users, analysis configuration, report templates, audit logs, and system settings. This <strong>Olympic Games Data Analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, Flask, Pandas, Matplotlib, data analytics, and visualization.</p>

  • Source + DB
  • Viva ready

Online Quiz School Data Analytics Final Year Project with Source Code

<p>Online Quiz School Data Analytics Project is a Python-based <strong>final year project</strong> developed for analyzing student exam performance using exploratory data analysis, visualization, and machine learning. This <strong>major project</strong> uses the Students Performance in Exams dataset from Kaggle and analyzes student scores based on gender, race/ethnicity, parental education level, lunch type, test preparation course, math score, reading score, and writing score. The project performs EDA, checks dataset shape, data types, missing values, statistical summaries, and correlations. It generates six report-ready visualizations and trains machine learning models such as Random Forest and Logistic Regression to predict student Pass/Fail status. This <strong>Online Quiz School data analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, education analytics, exam performance analysis, and machine learning.</p>

  • Source + DB
  • Viva ready

Myntra E-Commerce Sales Data Analytics Final Year Project with Source Code

<p>Myntra E-Commerce Sales Data Analytics is a Python-based <strong>final year project</strong> developed for analyzing synthetic Myntra-style order data for the financial year 2025&ndash;26. This <strong>major project</strong> loads e-commerce sales data from CSV, cleans and prepares order records, performs exploratory data analysis, generates 12 comparative visualization charts, and trains machine learning models for revenue prediction and product category classification. The project analyzes order patterns, monthly revenue trends, revenue by category, top brands, gender distribution, payment modes, state-wise revenue, customer age distribution, discount trends, correlation patterns, product revenue spread, product-type comparison, and MRP vs revenue relationship. It also uses Random Forest Regressor to predict order-line revenue and Random Forest Classifier to predict product category. This <strong>Myntra sales data analytics source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, EDA, visualization, and machine learning.</p>

  • Source + DB
  • Viva ready

BMW Car Market Insights Data Analysis Final Year Project with Source Code

<p>BMW Car Market Insights is a Python-based <strong>final year project</strong> developed for analyzing used BMW car market data and predicting vehicle prices using machine learning. This <strong>major project</strong> loads BMW vehicle data from a CSV file, cleans categorical text values, performs exploratory data analysis, generates statistical summaries, creates 13 visualization charts, trains a Random Forest Regressor, evaluates the model using R&sup2;, RMSE, MAE, and five-fold cross-validation, and displays sample price predictions. The project analyzes model-wise prices, year-wise price variation, transmission type, fuel type, mileage, engine size, MPG, tax, model popularity, feature importance, and actual-versus-predicted prices. This <strong>BMW car market insights source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, visualization, and machine learning.</p>

  • Source + DB
  • Viva ready

Online Food Ordering Data Analytics Final Year Project with Source Code

<p>Online Food Ordering Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing customer behavior in the online food ordering domain. This <strong>major project</strong> uses a Kaggle online food dataset containing customer demographic, income, education, family, location, feedback, and order-output details. The project performs exploratory data analysis, checks dataset shape, summary statistics, missing values, duplicates, and builds multiple visualizations to understand customer ordering patterns. It also trains machine learning models such as Random Forest and Logistic Regression to predict whether a customer will order food online again. This <strong>online food ordering data analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, EDA, visualization, and machine learning.</p>

  • Source + DB
  • Viva ready

COVID-19 Data Analysis Final Year Project with Source Code

<p>COVID-19 Data Analysis Project is a Python-based <strong>final year project</strong> developed for analyzing real-world COVID-19 case data using exploratory data analysis, visualization, and machine learning. This <strong>major project</strong> loads regional time-series data, processes province/state-level observations, aggregates records into country-day and country-level snapshots, prints statistical summaries, generates 12 chart images, and trains regression models to predict reported deaths using confirmed cases, latitude, longitude, and WHO region. The project can be executed as a standalone Python script or through a Jupyter Notebook where graphs appear inline. This <strong>COVID-19 data analysis source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, EDA, visualization, and machine learning.</p>

  • Source + DB
  • Viva ready
Live demo

Olympic Data Analytics Project with Source Code

<p>Olympic Data Analytics Project is a Python-based <strong>final year project</strong> developed for analyzing 120 years of Olympic history from 1896 to 2016. This <strong>major project</strong> performs data loading, exploratory data analysis, country-wise medal comparison, gender participation analysis, sport-wise age analysis, medal trend visualization, athlete participation growth analysis, machine learning-based medal prediction, and future medal forecasting. The project includes Python scripts, Jupyter Notebook workflow, visualization outputs, machine learning evaluation, confusion matrix, ROC curve, and forecast graph. This <strong>data analytics project source code</strong> is suitable for students who need a <strong>final year project</strong>, <strong>major project</strong>, <strong>minor project</strong>, <strong>source code</strong>, and <strong>project report</strong> based on Python, data analytics, visualization, and machine learning.</p>

  • Source + DB
  • Viva ready

No live demo projects in this list right now.

Not sure which project? Message us on WhatsApp — we'll suggest the best match for your topic & stack.

Get free suggestion