ByteFit - Fitness Tracking Application 🏋️‍♂️

ByteFit is a comprehensive fitness tracking application built with a modern microservices architecture. It allows users to track their fitness activities, receive AI-powered recommendations, and monitor their fitness journey with detailed analytics.

🏗️ Architecture Overview

ByteFit follows a microservices architecture pattern with the following components:

Backend Services (Spring Boot)

• API Gateway - Central entry point for all client requests with OAuth2 security
• Eureka Server - Service discovery and registration
• Config Server - Centralized configuration management
• User Service - User management and authentication
• Activity Service - Activity tracking and management
• AI Service - AI-powered fitness recommendations using Google Gemini API

Frontend

• React Application - Modern responsive web interface built with Vite

Infrastructure

• PostgreSQL - User data persistence
• MongoDB - Activity and recommendation data storage
• RabbitMQ - Asynchronous communication between services
• Keycloak - OAuth2/OIDC authentication provider

🚀 Features

Core Functionality

• User Registration & Authentication - Secure OAuth2-based authentication
• Activity Tracking - Track various fitness activities (Running, Walking, Cycling)
• AI Recommendations - Personalized fitness recommendations based on activity data
• Activity Analytics - Detailed insights and performance metrics
• Real-time Updates - Asynchronous processing with RabbitMQ

Technical Features

• Microservices Architecture - Scalable and maintainable service separation
• Service Discovery - Automatic service registration and discovery with Eureka
• Centralized Configuration - External configuration management
• API Gateway - Unified API endpoint with routing and security
• Event-Driven Architecture - Asynchronous communication between services

🛠️ Technology Stack

Backend

• Java 24 - Modern Java with latest features
• Spring Boot 3.4.6 - Application framework
• Spring Cloud 2024.0.1 - Microservices toolkit
• Spring Security - OAuth2 resource server
• Spring Data JPA - PostgreSQL data access
• Spring Data MongoDB - MongoDB data access
• Spring AMQP - RabbitMQ integration
• Maven - Build and dependency management

Frontend

• React 19.1.0 - UI library
• Vite - Build tool and dev server
• Material-UI - Component library
• Redux Toolkit - State management
• React Router - Client-side routing
• Axios - HTTP client
• react-oauth2-code-pkce - OAuth2 authentication

Databases

• PostgreSQL - Relational database for user data
• MongoDB - Document database for activities and recommendations

Message Broker

• RabbitMQ - Asynchronous messaging

External APIs

• Google Gemini API - AI-powered recommendations

📋 Prerequisites

Before running the application, ensure you have the following installed:

• Java 24 or higher
• Node.js 18+ and npm
• PostgreSQL database
• MongoDB database
• RabbitMQ message broker
• Keycloak server (for OAuth2 authentication)
• Maven 3.6+

🙏 Acknowledgments

• Spring Boot community for excellent documentation
• React and Material-UI teams for great developer experience
• Google Gemini API for AI capabilities