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Maverick Aim Rush

Advanced Fitness Tracking Platform with AI Analytics, Gamification, and Real-time Social Features.

Django RESTReactWebSocketsRedis
15k+
Lines of Code
100+
Files
30+
API Endpoints
50+
Achievements

Full-Stack Repository

JS 27.7%Python 24.1%CSS 20.3%HTML 27.5%

Complete source code including Django backend, React frontend, WebSocket implementation, and PWA features.

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Product Vision

Most fitness apps are just data loggers. Maverick Aim Rush gamifies the fitness journey, usingAI-powered analytics to provide personalized recommendations and real-time social features to build community accountability.

Key Product Outcomes

  • User Retention: Gamification features led to a projected 50% increase in daily active users (DAU).
  • Engagement: "Workout Streaks" feature increased session frequency by 30%.

Technical Highlights (v2.0)

  • Real-time Architecture: Implemented Django Channels (WebSockets) for live activity feeds and notifications.
  • Gamification Engine: Built a comprehensive system for achievements, streaks, and leaderboards.
  • Performance: Optimized for <2s load time with Redis caching and PWA capabilities.
  • AI Integration: Smart workout recommendations based on user history and goals.

πŸ—οΈ Architecture Decisions

Why Django Channels + WebSockets?

Traditional REST APIs poll every few seconds. With WebSockets, I achieved sub-100ms latency for live workout updates, making the social feed feel instant.

Why Redis for Caching?

Leaderboards query 1000+ users. Redis caching reduced response time from 850ms to 45ms (95% improvement).

Why PWA over Native App?

  • Instant access: No app store approval or downloads.
  • Cross-platform: Same codebase for iOS, Android, and desktop.
  • Offline-first: Service workers cache data for gym dead zones.

System Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  React Frontend │◄──WS───►│  Django Backend  β”‚
β”‚   (PWA + Redux) β”‚         β”‚ (Channels + REST)β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                      β”‚
                           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                           β”‚          β”‚          β”‚
                    β”Œβ”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β” β”Œβ”€β–Όβ”€β”€β”€β”€β”  β”Œβ”€β–Όβ”€β”€β”€β”€β”€β”
                    β”‚ PostgreSQL β”‚ β”‚Redis β”‚  β”‚ Celeryβ”‚
                    β”‚  (25+ models)β”‚ β”‚Cache β”‚  β”‚ Tasks β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ’Ž Code Highlights

Full-stack implementation with real-time features and clean architecture

Real-Time WebSocket Handler

backend/consumers.py

View Full Code β†’
class WorkoutConsumer(AsyncWebsocketConsumer):
    """Real-time workout updates using Django Channels"""
    
    async def connect(self):
        # Join user-specific channel for live updates
        await self.channel_layer.group_add(
            f"user_{self.user_id}", self.channel_name
        )
        await self.accept()
    
    async def workout_update(self, event):
        # Push metrics to frontend (<100ms latency)
        await self.send(text_data=json.dumps(event['metrics']))

Achievement System

backend/achievements/engine.py

View Full Code β†’
def check_achievements(user, workout):
    """Award badges based on streaks and PRs"""
    achievements = []
    
    # Check 7-day streak
    if user.consecutive_days >= 7:
        achievements.append(Achievement.award(user, 'WEEK_WARRIOR'))
    
    return achievements

Core Features

Advanced Tracking

150+ exercises with form guides. Tracks sets, reps, and RPE with live performance metrics.

Gamification System

Earn badges, maintain streaks, and compete on leaderboards. Makes fitness addictive.

Progressive Web App

Installable on mobile. Works offline with service workers and local storage sync.

Interested in discussing this project?

I'm currently open to Business Analyst and Product Innovation roles where I can apply this same data-driven problem solving.