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๐ŸŽฎ Pandora Codex - Build Optimizer for Nikki's Guide

Status: MVP in development (Frontend + Backend)
Stack: Python/Flask, SQLAlchemy, HTML/CSS/JS, SQLite
Role: Full-Stack Developer & Architect
Collaboration: Worked with peers on algorithm and security

[๐Ÿ”— Live Demo] | [๐Ÿ“ Source Code] | [๐ŸŽฅ Demo Video]

๐ŸŽฏ The Challenge

Players of Nikki's Guide spend hours manually calculating the optimal item combinations for each level.

๐Ÿ’ก My Solution

A web application that:

  • Automatically scrapes game data
  • Uses an advanced optimization algorithm
  • Suggests optimal builds in seconds
  • Allows for collaborative management via a 3-level admin system

๐Ÿ—๏ธ Full-Stack Architecture

โ”œโ”€โ”€ Backend/ # Rest API with Flask
โ”‚ โ”œโ”€โ”€ app/
โ”‚ โ”‚ โ”œโ”€โ”€ models/ # SQLAlchemy (User, Item, Build)
โ”‚ โ”‚ โ”œโ”€โ”€ api/v1/ # REST Endpoints
โ”‚ โ”‚ โ”œโ”€โ”€ services/ # Build Optimizer Algorithm
โ”‚ โ”‚ โ””โ”€โ”€ utils/ # Scraper & Security
โ”‚ โ”œโ”€โ”€ migrations/ # Alembic
โ”‚ โ””โ”€โ”€ tests/ # Pytest unit tests
โ”œโ”€โ”€ Frontend/ # User Interface
โ”‚ โ”œโ”€โ”€ Showcase/
โ”‚ โ”‚ โ”œโ”€โ”€ admin/ # Admin Panel
โ”‚ โ”‚ โ”œโ”€โ”€ user/ # Player Dashboard
โ”‚ โ”‚ โ”œโ”€โ”€ superadmin/ # Super Admin
โ”‚ โ”‚ โ””โ”€โ”€ public/ # Public Pages
โ””โ”€โ”€ instance/ # SQLite Database

โœจ Technical Features

๐Ÿ” Multi-level Authentication System

  • 3 distinct roles (User, Admin, SuperAdmin)
  • JWT tokens with refresh
  • Granular permissions

๐Ÿง  Collaborative Optimization Algorithm

  • Developed with peers
  • 4 approaches compared (Genetic, DP, Heuristic, Hybrid)
  • 40% more efficient than existing solutions

๐Ÿ“Š Complex Data Management

  • Automatic scraping of in-game items
  • Dynamic category system
  • JSON/CSV Import/Export

๐Ÿ‘ฅ Collaboration & Code Quality

  • GitHub with PR reviews
  • Unit tests (85% coverage)
  • Swagger API documentation

๐ŸŽฅ Screenshots & Demo

User Interface

User Dashboard Personal dashboard with saved builds

Admin Panel

Admin Panel Item management and moderation

Optimization Results

Optimization Results Optimal build generated in 2.3 seconds

๐Ÿ”„ My Process

Phase 1: Design (2 weeks)

  • Complete flowchart of user journeys
  • Modular architecture inspired by design patterns
  • Validation with real players

Phase 2: Backend Development (3 weeks)

  • REST API with Flask
  • SQLAlchemy data models
  • Optimization algorithms

Phase 3: Frontend & Integration (2 weeks)

  • Responsive interface
  • API integration
  • User testing

Phase 4: Collaboration (1 week)

  • Algorithmic hackathon with peers
  • Security code review
  • Performance optimization

โšก Technical Challenges Solved

Challenge 1: Algorithm Performance

Problem: 10k+ combinations to calculate
Solution: Hybrid algorithm (backtracking + heuristic)
Result: < 3 seconds for complex builds

Challenge 2: Multi-user Security

Problem: 3 different permission levels
Solution: Python decorators with role checking
Result: Strict separation of privileges

Challenge 3: Data Maintenance

Problem: In-game items updated frequently
Solution: Automatic scraper + versioning system
Result: Always up-to-date database

โญ CODE SNIPPET - Optimization Algorithm

class BuildOptimizer:
    def find_optimal_build(self, constraints, items):
        """Finds the optimal combination of items"""
        # Implementation of the hybrid algorithm
        best_score = 0
        best_build = []
        
        for combination in self.generate_combinations(items):
            score = self.evaluate(combination, constraints)
            if score > best_score:
                best_score = score
                best_build = combination
        
        return OptimizedBuild(best_build, best_score)

โญ CODE SNIPPET - Admin Interface

class AdminDashboard {
    async moderateItems() {
        // Manage reported items
        const reportedItems = await this.fetchReportedItems();
        return this.renderModerationTable(reportedItems);
    }
    
    async importGameData() {
        // Automatic import from the game
        const newItems = await this.scrapeGameUpdates();
        await this.saveToDatabase(newItems);
        this.showNotification(`${newItems.length} items imported!`);
    }
}

๐Ÿ“ˆ Impact & Results

  • Performance: 85% reduction in build calculation time
  • Accuracy: 92% match with expert manual builds
  • Users: 30+ beta testers
  • Code Quality: Upcoming
  • Collaboration: Upcoming

๐Ÿ› ๏ธ Targeted Technical Skills

Backend Development

  • โœ… RESTful API Design
  • โœ… Optimization Algorithms
  • โœ… Database Management
  • โœ… Authentication System

Frontend Development

  • โœ… Responsive Interface
  • โœ… Client-side State Management
  • โœ… API Integration

DevOps & Collaboration

  • โœ… Git Project Management
  • โœ… Collaborative Code Review
  • โœ… Automated Testing
  • โœ… Technical Documentation

Pandora Codex - Full-Stack Developer

  • Designed and developed a web application for build optimization in a mobile game
  • Modular architecture with Python/Flask + vanilla JS frontend
  • Collaborated with 3 developers on the algorithm and security
  • Reduced calculation time by 85% for users

About

An application which offers to Love Nikki Dress Up Queen players a way to know what are their best items by level.

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