Build Your Own AI Question-Answering System with Python and Tkinter | NLP Project Tutorial - Sinhala

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In this tutorial, we'll walk you through creating a powerful AI-driven question-answering system using Python, transformers, and Tkinter. Learn how to:
- Train a custom question-answering model using the Hugging Face transformers library
- Implement a simple document retrieval system using TF-IDF and cosine similarity
- Create a user-friendly GUI with Tkinter for easy interaction with your AI
Handle real-world challenges like empty answers and irrelevant contexts

Perfect for intermediate Python developers interested in Natural Language Processing (NLP) and building practical AI applications. By the end of this video, you'll have a functioning QA system that can answer questions based on your own dataset!

🔧 Technologies used:
- Python
- Transformers (Hugging Face)
- Tkinter
- Pandas
- Scikit-learn

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