CREDIT x Lexo

A website/application for Lexo an Exo-skeleton IoT device for patients with Osteoperosis or any Leg immobility disease

• Helps with retriving data from IoT device

1. Project Overview

Objective: Develop a web and mobile application to store, manage, and display data collected from the Lexo leg exoskeleton IoT device equipped with a Raspberry Pi. The system should provide users with real-time data insights, historical data analysis, and device management capabilities.

2. System Architecture

2.1. Components

Lexo IoT Device: Hardware: Lexo exoskeleton with Raspberry Pi. Sensors: Motion sensors, force sensors, battery status, etc. Connectivity: Wi-Fi/Bluetooth for data transmission.

Backend Server: API Layer: RESTful or GraphQL APIs for communication. Database: Store user data, device data, logs, etc. Authentication & Authorization: Secure user access. Data Processing: Real-time data handling and storage.

Frontend Application: Web Application: Accessible via browsers. Mobile Application: iOS and Android platforms.

Cloud Services: Hosting: Cloud provider (e.g., AWS, Azure, Google Cloud). Storage: For scalable data storage. CI/CD Pipelines: Automated deployment processes.

2.2. Architecture Diagram

[Lexo Device] --> [Cloud (API Server)] --> [Database]
                                   |
                                   +--> [Web Application]
                                   |
                                   +--> [Mobile Application]

3. Technology Stack

3.1. Backend

Language: Python (Django/Flask) or Node.js (Express)
Framework: Django REST Framework or Express.js
Database: PostgreSQL (relational) or MongoDB (NoSQL)
Real-time Communication: WebSockets or MQTT
Authentication: OAuth 2.0 / JWT
Hosting: AWS (EC2, Lambda), Azure, or Google Cloud Platform

3.2. Frontend

Web Application:
Framework: React.js or Vue.js
State Management: Redux or Vuex
UI Libraries: Material-UI, Bootstrap, or Tailwind CSS
Data Visualization: D3.js, Chart.js, or Recharts

Mobile Application:
Framework: React Native or Flutter
State Management: Redux (for React Native) or Provider/BLoC (for Flutter)
UI Libraries: NativeBase, Material Design

3.3. IoT Device

Operating System: Raspbian OS
Programming Language: Python or Node.js
Libraries: GPIO libraries, MQTT clients
Communication Protocol: MQTT over TLS for secure data transmission

4. Detailed Development Plan

4.1. Phase 1: Requirement Analysis & Planning

Gather Requirements:
Define data points collected by Lexo.
Determine user roles and permissions.
Identify key features (real-time monitoring, historical data, alerts).

Create Specifications:
Technical specifications document.
UI/UX wireframes and prototypes.

4.2. Phase 2: Backend Development

Setup Development Environment:
Choose the backend framework.
Initialize project repositories.

Database Design:
Define schemas for users, devices, sensor data, logs.
Implement relational or NoSQL database accordingly.

API Development:

Develop RESTful or GraphQL APIs for:

• User authentication and management.
• Device registration and management.
• Data ingestion from Lexo.
• Data retrieval for frontend applications.

Real-time Data Handling:

• Implement WebSockets or MQTT for real-time updates. Ensure scalability for multiple devices.

Security Implementations:

• Secure API endpoints.
• Implement data encryption in transit and at rest.
• Set up authentication and authorization mechanisms.
  
  

4.3. Phase 3: IoT Device Integration

Raspberry Pi Setup:

• Install necessary OS and dependencies.
• Configure network settings for connectivity.

Data Collection Scripts:

• Develop scripts to read sensor data.
• Ensure efficient data collection without draining device resources.

Data Transmission:

• Implement secure data transmission protocols (e.g., MQTT over TLS).
• Ensure reliable data sending with retry mechanisms.

Device Management:

• Allow firmware updates and remote diagnostics.

4.4. Phase 4: Frontend Development

Web Application

UI Development

• Build responsive layouts.
• Implement navigation, dashboards, and data visualization components.

State Management

• Manage application state efficiently.

Integration with Backend

• Connect to backend APIs.
• Handle real-time data streams.

---

Mobile Application

UI Development

• Design mobile-friendly interfaces.
• Ensure smooth navigation and interactions.

State Management

• Implement efficient state handling for mobile.

Integration with Backend

• Connect to backend APIs.
• Handle real-time data streams.

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4.5. Phase 5: Testing

Unit Testing

• Backend: Test API endpoints and data processing.
• Frontend: Test components and state management.

Integration Testing

• Ensure seamless communication between frontend and backend.
• Test data flow from Lexo to the application.

User Acceptance Testing (UAT)

• Gather feedback from potential users.
• Iterate based on feedback.

Performance Testing

• Ensure the system can handle the expected load.
• Optimize for scalability.

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4.6. Phase 6: Deployment

Setup CI/CD Pipelines

• Automate testing and deployment processes.

Deploy Backend

• Host on the chosen cloud provider.
• Ensure high availability and redundancy.

Deploy Frontend Applications

• Host the web application on platforms like:
  • Vercel
  • Netlify
  • AWS S3 with CloudFront
• Publish mobile applications to:
  • App Store
  • Google Play

Monitor & Maintain

• Implement monitoring tools such as:
  • Prometheus
  • Grafana
• Set up logging and alerting mechanisms.