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B.Tech Project Report
B.Tech Eye Care Data Analytics Final Year Project Report
Get structured B.Tech Eye Care Data Analytics Final Year Project Report Final Year Project Report and Documentation with project objectives, methodology, system design, diagrams, implementation details, testing and complete project explanations. Suitable as a learning, documentation and project-presentation resource for students working on related final year projects.
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Abstract
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Table of Content
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01
Introduction
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02
Problem Statement
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03
Existing System
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04
Proposed System
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05
Objectives
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06
System Architecture
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07
Major Functional Modules
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08
Hardware Requirements
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09
Software Requirements
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10
Future Enhancement
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11
Conclusion
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12
References
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Abstract
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Table of Content
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01
Chapter 1 — Introduction
- 1.1 Background of the Project
- 1.2 Problem Statement
- 1.3 Objectives of the System
- 1.4 Scope of the Project
- 1.5 Existing System Overview
- 1.6 Proposed System Overview
- 1.7 Technologies Used
- 1.8 Overview
- 1.9 Limitations
- 1.10 Advantages
- 1.11 Disadvantages
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02
Chapter 2 — Literature Review / System Study
- 2.1 Introduction
- 2.2 Review of Similar Systems
- 2.3 Comparative Analysis
- 2.4 Software Development Models
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03
Chapter 3 — System Analysis
- 3.1 Introduction
- 3.2 Functional Requirements
- 3.3 Non-Functional Requirements
- 3.4 User Requirements
- 3.5 Feasibility Study
- 3.5.1 Technical Feasibility
- 3.5.2 Economic Feasibility
- 3.5.3 Operational Feasibility
- 3.6 System Architecture
- 3.7 Data Flow Diagram (Level 0)
- 3.8 Data Flow Diagram (Level 1)
- 3.9 Data Flow Diagram (Level 2)
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04
Chapter 4 — System Design
- 4.1 Introduction
- 4.2 Use Case Diagram
- 4.3 Class Diagram
- 4.4 Sequence Diagram
- 4.5 Activity Diagram
- 4.6 ER Diagram
- 4.7 Database Schema
- 4.8 Table Structures
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05
Chapter 5 — System Implementation
- 5.1 Introduction
- 5.2 Development Environment
- 5.3 Tools and Technologies Used
- 5.4 Hardware Requirements
- 5.5 Software Requirements
- 5.6 Module-wise Implementation
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06
Chapter 6 — Testing
- 6.1 Introduction
- 6.2 Testing Strategy
- 6.3 Unit Testing
- 6.4 Integration Testing
- 6.5 System Testing
- 6.6 Test Cases
- 6.7 Bug Reports
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07
Chapter 7 — Results and Discussion
- All screenshots
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08
Chapter 8 — Conclusion and Future Enhancements
- 8.1 Conclusion
- 8.2 Future Enhancements
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09
Chapter 9 — References
Project's Overview
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.
Login Credentials
Default Admin Account
- Username:
admin - Password:
admin123
Dummy User Accounts
Example:
- Email:
[email protected] - Password:
password123
Related & Popular Reports
View all
- 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 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
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
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Open terminal in the project folder:
cd "eye-care-data-analytics" -
Install dependencies:
pip install -r requirements.txt - Configure Gmail for forgot password:
- Create a Gmail App Password from Google Account settings.
- Set environment variables.
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Windows environment setup:
set [email protected] set MAIL_PASSWORD=your-16-char-app-password -
Or configure mail settings in:
config.py -
Run the application:
python run.py -
Alternative run command:
python app.py -
Open landing page:
http://127.0.0.1:5000/ -
Open user login:
http://127.0.0.1:5000/auth/login - Open admin login:
http://127.0.0.1:5000/admin/login
README Included
Setup Support Available
Default Admin Account
- Username:
admin - Password:
admin123
Dummy User Accounts
Example:
- Email:
[email protected] - Password:
password123