C# vs. Python: Machine Learning Architecture

A web application built to benchmark and compare machine learning model training and inference between the .NET (C#) and Python ecosystems. Developed as part of a Bachelor's Thesis focusing on Computer Vision. The program is focused on a computer vision task of Lung Cancer detection.

Features

• Model Training: Trigger model training on either the C# or Python backend from a single UI.

• Side-by-Side Inference: Test predictions using both models to compare outputs and latency.

• Model Management: View detailed performance metrics (accuracy, training time) and delete old models.

• Persistent Storage: All model metadata is tracked and stored in a unified SQLite database.

Live Demo

Check out the live demo here: ml-dotnet-vs-python

Screenshots

Tech Stack

• Blazor Server
• ASP.NET Core Web API
• SQLite + EF Core
• TorchSharp)
• FastAPI (Python)
• PyTorch
• .NET Aspire for orchestration
• MudBlazor for UI components
• Hetzner Cloud (Ubuntu) for deployment