Diagnostic Assessment System with NestJS and PostgreSQL
Muhammad Hammad
I developed a robust diagnostic assessment platform using NestJS and PostgreSQL, focusing on efficient data architecture and automated scoring capabilities.
Technical Architecture
Database Design:
Designed normalized PostgreSQL schema for optimal assessment data storage
Implemented efficient indexing strategies for fast query performance
Created views for commonly accessed assessment data combinations
Backend Implementation:
Built scalable REST APIs using NestJS framework:
Modular service architecture for assessment management
Automated scoring engine with configurable rules
Progress tracking system with statistical analysis
User authentication and role-based access control
Leveraged TypeORM for type-safe database operations
Implemented repository pattern for clean data access
Created middleware for request validation and error handling
Built services for real-time score calculation and progress updates
Core Features
Automated scoring engine for multiple assessment types
Real-time progress tracking and reporting
Secure data access with role-based permissions
RESTful APIs for frontend integration
Efficient data retrieval for assessment analytics
This implementation showcases my expertise in:
Database architecture design for healthcare applications
Building secure, scalable backends with NestJS
Implementing efficient data storage and retrieval patterns
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Posted Nov 5, 2024
Built diagnostic assessments with NestJS & PostgreSQL, featuring automated scoring, progress tracking & optimized data architecture for clinical assessments.
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