AWS-React-Native-and-Serverless-Architecture-Project

🚀 Overview

Evrlift was built as a Proof of Concept (POC) to explore new technologies and improve my understanding of React Native, AWS Serverless Architecture, and DynamoDB Single-Table Design. The goal was to create a minimal-click fitness coaching app that integrates essential features like workout management, client tracking, and authentication.

This project allowed me to experiment with real-time data fetching, scalable backend architecture, and UI/UX optimizations, while learning about AWS services, authentication flows, and performance optimizations.

🌟 Features Implemented

🔥 Core Functionality

• React Native (Expo Ejected) – Built for iOS, Android, and Web using a unified codebase.
• Authentication & Token Management – Implemented using Cognito & AsyncStorage.
• Workout Templates – Created and assigned structured workouts with embedded YouTube instructional videos.
• Client Tracking – Basic client management with filtering options for progress tracking.
• Progress Tracking – Side-by-side progress photo comparisons and stat tracking.

🏗️ Backend Architecture

• AWS AppSync (GraphQL API) – Managed client-server interactions efficiently.
• AWS DynamoDB (Single-Table Design) – Experimented with schema design for cost-effective querying.
• AWS Lambda – Backend logic execution for tasks like data fetching and mutations.
• AWS S3 – Stored images securely and retrieved them dynamically.

📊 Database Schema (DynamoDB)

PK (Partition Key)          | SK (Sort Key)                | ItemType     | Additional Attributes
---------------------------|-----------------------------|-------------|----------------------
USER#<userId>               | METADATA                     | User        | Role (coach/client), Email...
USER#<userId>               | WORKOUT#<workoutId>          | Workout     | TemplateId, Sets, Reps...
USER#<userId>               | PROGRESS#<progressId>        | Progress    | Weight, Body Fat %, Photos (S3 Links)...

🔥 Why Single-Table Design?

✅ Batch Fetching – Querying related data in a single request. ✅ Optimized Reads/Writes – Reduced costs by minimizing unnecessary queries. ✅ Scalability – Allowed easy expansion of related entities.

🎯 Technologies Explored

• React Navigation – For smooth multi-screen transitions.
• Reanimated & Gesture Handler – Learned animation and gesture-based interactions.
• React Query – Efficient state management and API data caching.
• Stripe SDK – Integrated for subscription-based payments.

💡 Lessons Learned & Challenges

• Token Expiry & Refresh – Implemented an auto-refresh system for expired authentication tokens.
• Optimizing DynamoDB Queries – Structured data to avoid costly scans and improve efficiency.
• Lazy Loading & Pagination – Reduced API costs by only fetching required data.
• Cross-Platform UI Adjustments – Ensured a seamless experience across mobile and web.

🚀 Deployment & CI/CD

• Frontend: Deployed via Expo & Fastlane for iOS/Android.
• Backend: Managed via AWS SAM (Serverless Application Model).
• Automated Testing: Basic unit testing using Jest.

🎯 Next Steps (For Future Exploration)

🔜 Enhancing Real-Time Updates – Implementing GraphQL subscriptions for live coaching feedback. 🔜 Wearable Integrations – Exploring data sync with Apple Health & Fitbit. 🔜 Improved Gamification – Experimenting with ranking and achievement badges.

🎉 Summary

Evrlift served as a learning project where I explored React Native, AWS Serverless Architecture, and scalable data design. While not intended for production, it provided hands-on experience in building a functional fitness coaching app with authentication, client tracking, and workout management.

🚀 A step forward in understanding scalable, real-world app architecture. 🚀