NetCoreAI.v2

Project Info

Category AI & ML
Date 04-02-2026
Duration 2 Days
View on Github

About The Project

This project is a collection of 20 AI-focused sample applications developed using .NET 9.0. The main goal was to explore and practice how different AI providers can be integrated into real-world projects under a single architecture. Throughout the project, I worked with popular AI services such as OpenAI, Anthropic Claude, Google Gemini, Hugging Face, Stability AI, Replicate, Deepgram, and Microsoft Azure. The applications cover a wide range of AI use cases, including text classification, sentiment analysis, summarization, question answering, named entity recognition (NER), toxic message detection, PDF and news summarization, speech-to-text and text-to-speech, image analysis, object detection, and text-to-image/video generation. Overall, this project served as a hands-on learning experience to understand AI integrations in .NET applications and to build a solid foundation for more advanced AI-driven systems in the future.

AI & ML Services

NLP & Conversational AI

  • Hugging Face Inference API (Sentiment Analysis
  • Text Summarization
  • Named Entity Recognition
  • Question Answering
  • Toxic Comment Classification)
  • Anthropic Claude API (Chatbot
  • PDF Summarization
  • Prompt-based Job Application Email Generation)
  • Google Gemini API (Chatbot
  • Role Simulation
  • Auto-Agent Content & Idea Planning)
  • OpenAI API (GPT-3.5 / GPT-4 Chat Completions
  • Code Assistant
  • Speech Chatbot)

Speech, Vision & Generative AI

  • OpenAI Whisper (Speech-to-Text)
  • Stability AI – Stable Diffusion (Text-to-Image Generation)
  • Replicate API (Image & Short Video Generation)
  • Deepgram API (Automatic Audio Transcription)
  • Microsoft Azure Cognitive Services (Text-to-Speech
  • Image Captioning
  • Object Detection)
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