Qvantum Quiz System - Enterprise Architecture & Backend Assessment Platform

A scalable web-based evaluation platform built to handle high-concurrency quiz generation, automated grading, and real-time candidate assessment.

While implemented using Python and Flask, the core system architecture strictly mirrors enterprise .NET backend engineering standards—incorporating decoupled service layers, relational data modeling, and robust API endpoints.

Technical Highlights:

- Architecture & Design Patterns: Enforced clean separation of concerns using Service and Repository patterns, adhering to SOLID principles and OOP fundamentals commonly practiced in enterprise .NET applications.

- Automated Evaluation Engine: Developed an asynchronous grading pipeline that evaluates submissions, calculates time-bound weighted metrics, and ensures zero data loss during high concurrent submissions.

- Data Layer & Integrity: Structured relational schemas with complex foreign-key constraints, transactional atomicity, and query optimizations equivalent to Entity Framework Core standards.

- RESTful Services: Built lightweight endpoints with strict input validation, custom error-handling middleware, and token-based authentication routines.

- Containerization & CI/CD: Packaged the entire runtime with Docker to ensure zero-dependency deployment and configured automated test runs using GitHub Actions.

Technologies Used:

Python, Flask, SQLite, Docker, GitHub Actions, RESTful APIs, OOP, SOLID Principles, Clean Architecture, JavaScript, HTML5, CSS3.