Exploring LLMs with interactive notebooks.
🏥 AI-powered breast cancer classification using Logistic Regression with 95% accuracy. Features interactive Gradio web interface for real-time predictions on 30 diagnostic parameters from Wisconsin dataset. Includes comprehensive Jupyter notebooks for model training, evaluation metrics, and deployment-ready architecture for healthcare application.
This project lets users enter a website URL and extract its text content using a simple Gradio interface. Built with Python, it uses requests and BeautifulSoup for scraping and wraps it in a Jupyter Notebook. Ideal for beginners, it offers a quick way to demo web scraping and explore Gradio's interactive UI features.
This repository hosts the files and notebooks for my Food Classification App. The application is built using Gradio and deployed on Hugging Face. Explore the code and documentation to understand the implementation and feel free to contribute or use it for your own projects.
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