Predictive-Maintenance

A C# WinForms application that monitors IoT sensor data (temperature, vibration, and current), detects anomalies, and predicts failures using ML.NET and MongoDB.

📌 Features

✅ Real-time sensor data visualization
✅ Anomaly detection & alerts
✅ ML-based failure prediction
✅ MongoDB storage & historical data
✅ Web API (ASP.NET Core) for remote access
✅ CSV export & reporting

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🛠️ Installation & Setup

1️⃣ Install Required Dependencies

• Visual Studio 2022+
• MongoDB Community Server
• .NET 6+ SDK
• NuGet Packages:

  dotnet add package MongoDB.Driver
  dotnet add package Microsoft.ML
  dotnet add package Microsoft.ML.FastTree
  dotnet add package LiveCharts.WinForms

**2️⃣ Clone the Repository

git clone https://github.com/YOUR_USERNAME/IoT-Predictive-Maintenance.git
cd IoT-Predictive-Maintenance

**3️⃣ Set Up MongoDB

1. Start MongoDB Server (default port 27017):

mongod

2. Create the database:

mongosh
use IoTPredictiveMaintenance

**4️⃣ Run the Application

1. Open Visual Studio and load the solution (.sln).
2. Run the project (F5).