The ML Assist Tool was born from the need to make complex data science concepts accessible to everyone, from curious beginners to seasoned engineers. Built using Streamlit and LangChain, this application leverages the Gemini 2.5 Flash Lite model to transform dense technical topics into customized, digestible insights. By allowing users to toggle between mathematical, code-oriented, or beginner-friendly styles across multiple languages, the project eliminates the "one-size-fits-all" barrier in AI education. It serves as a modular, efficient bridge between high-level machine learning theory and practical, personalized understanding.
ML assistance tool
The tool acts as a personalized tutor and researcher for key machine learning concepts. Users interact with a clean interface to generate specific, targeted information about popular ML algorithms
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