Project Overview
Served as the primary Web Developer for this collaborative project, personally implementing the complete frontend interfaces and backend architecture while team members handled testing and other supporting roles. This comprehensive health application enabled patients and clinicians to calculate, visualise, and track kidney function through eGFR (estimated Glomerular Filtration Rate) measurements with tailored interfaces for different user roles.
Technologies Utilised
Frontend
HTML5, CSS3, JavaScript, Chart.js for dynamic data visualisation
Backend
Node.js, Express.js framework
Database
MySQL via AWS RDS
Cloud Infrastructure
AWS EC2 for hosting, Route53 for domain resolution, S3 for object storage
Security
Bcrypt encryption, session management, reCAPTCHA integration
Key Technical Contributions
Frontend Development
- Designed and implemented responsive user interfaces for patients, clinicians and guest users
- Created dynamic health status calculators with colour-coded visual feedback based on kidney function levels
- Developed interactive data visualisation using Chart.js to display patient health trends over time
- Engineered frontend validation to ensure data integrity before submission to the backend
- Implemented user authentication interfaces with security features including reCAPTCHA
Backend Architecture
- Architected a robust Node.js server implementation with Express framework
- Engineered database connection pooling to optimise performance and resource utilisation
- Developed API endpoints facilitating communication between frontend components and database
- Implemented intelligent static file serving to reduce server load and improve performance
- Created modular backend components with comprehensive JSDoc documentation
Security Implementation
- Designed and implemented complete authentication workflows with session management
- Deployed Bcrypt hashing to securely store user credentials, protecting against database breaches
- Engineered session timeout controls and middleware authentication checks
- Protected sensitive routes with comprehensive access control mechanisms
- Safeguarded database credentials using environment variables to prevent exposure in version control
Database Design
- Designed efficient relational database schema for storing patient records and health data
- Created optimised SQL queries to retrieve and analyse patient health information
- Implemented database transaction handling to ensure data integrity
- Established secure database access patterns to prevent injection attacks
Development Workflow
- Utilised GitHub for version control with feature branches and pull requests
- Implemented Docker containers to standardise development environments and mitigate dependency issues
- Applied continuous integration practices to maintain code quality throughout development
- Produced comprehensive documentation for all system components
Selected screenshots highlighting key components of the KodeGreen Kidney Health Tracker web application. Additional code samples, architectural diagrams, and user interface designs are available for review.
Backend: Database Connection
Secure MySQL connection pooling with environment variables for credentials
Backend: Static File Serving
Express static file configuration for serving frontend resources
Backend: User Registration
Secure user creation with password hashing and error handling
Frontend: Login Page
Secure user authentication interface with guest login option
Frontend: Patient Resources
Integration with NHS and kidney health resources for patients
Backend: Auth Implementation
Secure password verification with bcrypt and session management
Backend: HTML Structure
Server-side HTML templates with form validation for data entry
Frontend: eGFR Stages
Visual representation of kidney disease stages with corresponding GFR values
Project Outcomes
Functional Web Application
Successfully delivered a fully functional web application with distinct, user-friendly interfaces for all user types
Advanced Health Calculation System
Implemented a sophisticated eGFR calculation system with dynamic feedback based on kidney health status
Secure Platform
Created a secure platform handling sensitive patient health information with robust authentication
Scalable Infrastructure
Established a scalable AWS infrastructure supporting immediate deployment and future expansion