KneeTherapy System

Introduction

KneeTherapy is an innovative system designed for real-time monitoring and display of knee training exercises. It aims to assist users in their recovery journey by providing live feedback and analytics on their training sessions.

Features

• Real-time monitoring of knee training exercises.
• Display of live training sessions.
• Analytics dashboard showcasing the 10 best workouts.
• MVP-based dashboard design for easy navigation and understanding.

Technology Project

• Frontend Project: Frontend README
• Backend Project: Backend README

Key Features

• Automated Cooling: Automatically adjusts cooling levels based on real-time temperature data.
• IoT Integration: Seamlessly connects with IoT devices for efficient monitoring and control.
• Docker Compose Deployment: Simplifies the deployment process, making it easy to scale and maintain.

Technology Stack

• Docker Compose: For orchestrating and managing multi-container Docker applications.
• IoT Devices: Basic utilizes various IoT devices for monitoring and controlling cooling systems.
• Coolify: An essential tool for deploying and managing Dockerized applications with ease, enhancing the project's scalability and deployment efficiency.

Environment Variables Setup

To properly configure the server, please set environment variables.

For kneeTrainerAPI (Backend):

BROKER_URL=mqtt://url.com
CLIENT_ID=id_number
USERNAME=user
PASSWORD=1234
KEEPALIVE=300
TOPIC1=/sessionReport
TOPIC2=/sessionLive

For kneeTrainerClient(Frontend):

REACT_APP_API_URL=http://localhost:5000