CyberBall

Home Page
Login Page
Signup Page

🏀 CyberBall Hackathon Project

🎯 Project Overview

Basketball AI Training App built with Flutter Computer vision integration for shot analysis Real-time feedback and performance tracking Multiplayer support for competitive play

🔧 Technical Implementation

Stack: Cross-platform mobile app development Custom UI with basketball court theming Smooth animations and responsive design State management with Provider pattern Authentication: Email/password sign-up with profile setup Database: Firestore for user data, game stats, and leaderboards Real-time updates: Live statistics and multiplayer sync AI Integration Camera access for shot detection ONNX model for computer vision analysis Shot tracking with accuracy metrics

Key Features

User Experience Profile Setup: Collects name, age, gender, position, difficulty Difficulty Levels: Rookie → Starter → All-Star → MVP Game Modes: Solo and Multiplayer options Statistics: Comprehensive performance tracking Data Management User Profiles: Complete player information storage Game Data: Shot attempts, scores, timestamps Analytics: Shooting percentage, best scores, trends Leaderboards: Community competition system

🛠️ Development Process

Challenges Solved Build errors: Fixed Gradle and Dart compilation issues UI optimization: Reduced dropdown height to avoid avatar overlap Firebase integration: Seamless authentication and data storage Type safety: Resolved missing imports and type mismatches Testing & Iteration Continuous build testing (flutter build apk --debug) Real-time debugging on Android devices UI/UX refinement based on user experience Performance optimization for smooth gameplay

Technical Architecture

Data Models analysis Services analysis

Design Philosophy

Basketball-themed UI: Orange/brown gradient color scheme Intuitive navigation: Smooth transitions and animations Responsive design: Optimized for various screen sizes User-friendly: Clear feedback and error handling

Final Results

Production-ready app with stable build Complete user journey from sign-up to gameplay Real-time analytics and performance tracking Scalable architecture for future enhancements Cross-platform compatibility for wide accessibility

💡 Key Achievements Successfully integrated ML with mobile app Created engaging user onboarding experience Built comprehensive data analytics system Implemented real-time single player use functionality Delivered polished, production-quality application Bottom Line: A complete basketball training ecosystem that combines AI, real-time data, and engaging user experience into a single, powerful mobile application.