This project is a learning-focused application developed with .NET 9.0 and consists of 17 different console applications. The main purpose of this project is to better understand artificial intelligence technologies, see how they work in practice, and use them in real-life scenarios. Throughout the project, I worked with various OpenAI services, including GPT-3.5 Turbo, GPT-4, DALL·E, Whisper, and Text-to-Speech. In addition to AI models, I also used tools such as Google Cloud Vision API and Tesseract OCR to read text from images, HtmlAgilityPack and PdfPig for web scraping and PDF analysis, and RSS Feed integration to collect news from different sources. These news contents are processed with AI to create automatic summaries and simple sentiment analysis results. Some of the highlighted projects include an AI-powered news summarization system using RSS feeds and GPT-4, a story generation and image creation feature based on user input, and an AI-based recipe recommendation system that suggests recipes based on given ingredients. Overall, this project was created as a training and practice project to learn how AI can be integrated into .NET applications and to build a solid foundation for future, more advanced projects.
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