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AI-Enabled Router Health Tracker

AI-Enabled Router Health Tracker

The goal is to create a comprehensive tool for real-time router monitoring, AI-driven predictive maintenance, and actionable data visualizations. This system will streamline router management through a web platform, mobile application, and backend infrastructure that ensures seamless integration and real-time tracking.

Key Features

Router Monitoring

Continuous tracking of uptime, signal strength, bandwidth usage, and temperature.

Predictive Maintenance

AI algorithms identify and alert users to potential hardware and software issues before failures occur.

Data Visualization

Customizable dashboards for real-time and historical analysis of router performance.

Multi-Platform Accessibility

Web Application: For administrators and IT professionals.
Mobile Application: Accessible for on-the-go router management.

User Management

Role-based access control (RBAC) ensures secure and segmented access.

Device Integration

Out-of-the-box compatibility with major router brands and APIs for custom devices.

Technical Architecture

Frontend Layer

  • Web Application:
    • Built with ReactJS for dynamic user interfaces.
    • Styled using Tailwind CSS for responsiveness.
  • Mobile Application:
    • Developed in Flutter, ensuring cross-platform compatibility for iOS and Android.

Backend Layer

  • Framework: Node.js with Express.js.
  • Databases:
    • Real-time metrics: MongoDB.
    • Historical data: PostgreSQL.
  • AI Engine: Predictive models developed with TensorFlow and scikit-learn.

Data Pipeline

  • Data Collection: Uses MQTT protocol for efficient IoT data streaming.
  • Processing: Real-time message queuing and data streaming handled by Apache Kafka.
  • Storage: Raw logs and backups stored in AWS S3.

Deployment & Hosting

  • Cloud Infrastructure: Hosted on AWS, utilizing EC2, RDS, Lambda, and CloudWatch for scalability and monitoring.
  • Containerization: Docker and Kubernetes ensure smooth, scalable deployments.

Security

  • Encrypted communication via HTTPS and WSS protocols.
  • JWT-based authentication for secure user sessions.
  • RBAC with detailed audit logging to ensure compliance.