Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.

Quizzio is a platform that enables users to transform their study material into personalized quizzes. By allowing the upload of notes, articles, or images, Quizzio generates customized quizzes tailored to the user's study content. The platform also provides AI-based feedback on performance, highlighting areas that need improvement and reinforcing key concepts. It supports various formats, including plain text, PDFs, and images, making it versatile for different study materials. Users can export quizzes to PDF for offline study and enjoy efficient, personalized learning.

CPAIT is a comprehensive app designed to enhance your Mandarin Chinese pronunciation skills. The app utilizes AI technology to act as your personal tutor, providing real-time feedback on your pronunciation of initial, final, and tone components. It includes extensive systematic practice materials, such as over 400 Pinyin combinations, 5000+ phrases, and 90+ short essays including Chinese mottos, ancient poems, and classical texts. This app works completely offline, ensuring your privacy and allowing practice anytime without internet dependency.