PredictPulse: Real-Time System Monitoring & Predictive Analytics

PredictPulse is a full-stack IoT monitoring solution designed to simulate, track, and predict system failures in real-time. It demonstrates a complete data pipeline from low-level device simulation to high-level web visualization.

System Architecture

The project is composed of three distinct modules communicating synchronously:

1. Device Simulator (C++):

   • Simulates IoT sensor hardware.
   • Generates real-time telemetry data (temperature).
   • Optimised for low-latency data transmission.

2. API Hub (.NET 8 Core):

   • Acts as the central message broker.
   • Processes incoming telemetry streams.
   • Runs predictive logic to flag potential hardware failures before they happen.

3. Dashboard (React + TypeScript):

   • Visualizes system health via dynamic charts.
   • Receives live updates via WebSockets/SignalR.
   • Provides a responsive UI for monitoring multiple device nodes.

🚀 Tech Stack

• Backend: C# .NET 8, ASP.NET Core
• Frontend: React.js, Tailwind CSS
• Simulation: C++ (Standard 17)
• Protocols: HTTP/REST, WebSockets

🔧 Getting Started

Prerequisites

• .NET 8 SDK
• Node.js (v18+)
• C++ Compiler (GCC or MSVC)

Installation

1. Clone the repo:

   git clone [https://github.com/ImanDanial2106/PredictPulse.git](https://github.com/ImanDanial2106/PredictPulse.git)

2. Run the Hub (.NET):

   cd DotNetApiHub
   dotnet run

3. Start the Dashboard (React):

   cd reactdashboard
   npm install
   npm run dev

4. Launch the Simulator (C++): (Navigate to CppSimulator and run the executable created by your build system).