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MichaelHanz / repository
CS-Hoopers
A custom registration backend for my school's basketball tournament. I'm building this entirely from scratch without relying on Firebase or Supabase to step away from BaaS tools and finally learn how real APIs, databases, and server architectures work under the hood.But obviously due to the time constraint,i will be using AI for the front-end.
#backend-development#fastapi#postgresql#pydantic#python#react
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🏀 CS-Hoopers | Tournament Registration Engine
A custom-built, decoupled backend architecture and registration system designed to handle real-world tournament operations, high-concurrency sign-ups, and strict roster validation for a faculty basketball competition.
🎯 The "Why": Evolving Beyond BaaS
Although I am highly proficient in building full-stack applications, relying entirely on Backend-as-a-Service (BaaS) platforms like Supabase or Firebase abstracts away the true mechanics of software engineering. I realized that to be a genuinely capable developer, I needed to understand what happens under the hood.
With my faculty hosting an upcoming basketball competition, I saw the perfect opportunity to bridge this knowledge gap. I built this system to solve a real-world problem while forcing myself to learn the core concepts of true backend architecture. Rather than having participants fill out a basic Google Form, I wanted to challenge myself and build this custom platform in a one-week timeframe.
The Strict Project Constraints:
- 🚫 No Backend SaaS (Phase 2): Everything from API routing, data validation, to relational database transactions is coded manually by me. This is to ensure that I truly understand the mechanics of software engineering.
- ⚡ Tactical Deployment (Phase 1): To meet real-world deadlines, the initial production launch utilizes Firebase to secure data immediately, allowing parallel development of the custom Python backend without blocking user registration.
- 🤖 Strategic AI Delegation: The frontend (UI/UX) and other non-vital boilerplate were accelerated using AI, allowing me to focus 100% of my mental energy on deep backend engineering. It was a very tedious task to build the frontend on my own, so I used AI to help me build it rapidly.
Ultimately, this project is a critical step in my journey to understand the deeper mechanics of the cyber world. By mastering Python to build a robust, standalone server here, I am laying the architectural groundwork needed to eventually build my own advanced servers, host Large Language Models (LLMs), and transition into AI Engineering.