Athletic Performance Platform
Full-Stack Web Application for Rankings & Relay Team Management
System Overview
A sophisticated web application that aggregates athletic performance data, processes it into intelligent rankings, and provides an advanced relay team builder with pace-based time projections.
System Architecture
🖥️Client Layer
Landing Page
- →Access request
- →Token delivery
- →Responsive design
Rankings View
- →Multi-event tabs
- →PB/SB/Recent display
- →CSV export
Team Builder SPA
- →Drag-and-drop
- →Pace calculations
- →Time projections
🔗API Layer
REST Endpoints
- →GET /api/rankings
- →GET /api/athlete/:id
- →POST /api/teams
Authentication
- →Token-based access
- →Request validation
- →Rate limiting
Data Serialization
- →JSON responses
- →CSV generation
- →Error handling
⚙️Business Logic Layer
Ranking Engine
- →PB calculation
- →SB tracking
- →Recent form
Team Builder
- →Pace matching
- →Time prediction
- →Optimization algorithms
Data Processing
- →Web scraping
- →Data cleaning
- →Validation
🗄️Data Layer
SQLite Database
- →Athlete profiles
- →Performance records
- →Team configurations
File Storage
- →CSV exports
- →Static assets
- →Configuration files
External APIs
- →Power of 10 data
- →Results scraping
- →Real-time updates
Data Flow
Data flows seamlessly from external sources through our processing pipeline to deliver real-time insights to coaches and athletes. The system ensures data integrity and provides multiple access points for different user roles.
Key Features
Automated Data Collection
Scrapes performance data from multiple sources with intelligent parsing and validation.
Real-time Rankings
Dynamic ranking system that updates automatically with new performance data.
Intelligent Team Builder
AI-powered relay team optimization based on individual paces and performance history.
Professional Exports
Generate publication-ready reports with advanced formatting and branding.
Responsive Interface
Mobile-first design that works seamlessly across all devices and screen sizes.
Scalable Architecture
Designed for growth with modular components and efficient database queries.