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Build

CrashDetectorwithAI

A Windows application that detects system crashes and uses AI to provide explanations and solutions for crash events. Supports multiple AI backends including local Phi-4 (ONNX) and Ollama for access to a wide range of local models.

Features

  • Automatically detects Windows crash events
  • Extracts fault bucket information from Windows Error Reporting
  • Multiple AI service support: Phi-4 (local ONNX) and Ollama
  • Streaming AI responses with real-time token display
  • Modern, sleek UI with responsive design
Detection AI recommendation
Image Image

Technical Details

  • Built with WPF (.NET 9.0)
  • Uses ONNX Runtime for local Phi-4 model inference
  • Supports Ollama REST API for access to additional local models
  • IModelService interface enables extensible AI service integration

Requirements

  • Windows operating system
  • .NET 9.0 runtime
  • One of the following AI backends:
    • Phi-4: Model files in ONNX format (configured in appSettings.yml)
    • Ollama: Ollama installed and running

Setup

  1. Clone the repository
  2. Update the appSettings.yml with your preferred AI service configuration
  3. Build and run the application

AI Services

Phi-4 (Local ONNX) — Default

Uses the Phi-4 model locally via ONNX Runtime. Best for offline use with no additional services.

  1. Download the Phi-4 ONNX model (Int4 quantized, CPU-optimized)
  2. Set modelPath in appSettings.yml to the model directory
  3. Select Phi-4 (Local) in the app

Ollama

Supports any model available through Ollama, such as Llama 3, Mistral, DeepSeek, Phi-4, Gemma, and more.

  1. Install Ollama from https://ollama.com/
  2. Pull a model: ollama pull llama3.2
  3. Ensure Ollama is running: ollama serve
  4. Update appSettings.yml: 
    aiService: ollama
ollamaEndpoint: http://localhost:11434
ollamaModel: llama3.2
  5. Select Ollama in the app and enter your model name

Configuration

In appSettings.yml, configure your AI service:

# AI Service selection: phi4 or ollama
aiService: phi4

# Path to the Phi-4 model (used when aiService is phi4)
modelPath: C:\Path\To\Your\Phi4Model

# Ollama configuration (used when aiService is ollama)
ollamaEndpoint: http://localhost:11434
ollamaModel: llama3.2

YAML configuration allows you to use regular Windows paths with backslashes without needing to escape them.