MentorSync is an application created to connect mentors and mentees
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Updated
Dec 21, 2025 - TypeScript
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MentorSync is an application created to connect mentors and mentees
BirdIdentifier is an ASP.NET Web API that uses machine learning to help users identify birds in their pictures.
🚀 Complete roadmap to become an AI-powered .NET Solutions Architect | Self-paced learning guide covering C#, Azure, ML.NET, Azure OpenAI, LLMs & Microservices | 50+ projects, 6 certifications | Open for contributions, forks & customization | ⭐ Star to support!
This project explores the image classification capability of machine learning using C# and ML.NET.
ML.NET app to "predict" euromillion result
Real-time video surveillance system with AI-powered human behavior analysis and pose detection
ML.NET.Classifier is a .NET Windows Forms application that utilizes the ML.NET library to demonstrate binary and textual data classification process using relevant metrics and visual charts.
A web application designed to provide a seamless shopping experience for badminton enthusiasts.
Pure C# machine learning demonstration for financial risk prediction, designed to enhance and automate loan approval processes using powered by AI.
Build intelligent document search with fuzzy matching and ML-powered concept understanding.
Machine Learning + AI Powered Loan Approval Demo [ML.NET + Semantic Kernel]
A .NET Core financial analysis tool/API for calculating correlations between time series data with interactive visualizations powered by ML.NET and Plotly.js.
Restaurant POS system with sales prediction using ML.NET (FastTree Regression algoritham for model building)
Przykłady ze szkolenia Machine Learning and AI with ML.NET
NER (Named Entity Recognition) implementation using a BERT/DistilBERT-based ONNX model for Token Classification in ML.NET
Simples exemplo de analise de sentimento usando ml net
ML.Net 4.0 preditions, detections
Liveness detection example app in C#
AutoApplyAI is an AI-powered .NET application that automates job applications and responses to emails or client offers. It uses ML.NET to match relevant opportunities based on your skills and preferences, following clean architecture principles with a modular, scalable design.
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