A New, Interactive Approach to Learning HTML and CSS
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Updated
Jan 21, 2021 - HTML
A New, Interactive Approach to Learning HTML and CSS
A web app that runs a local LLaMA 3.2 model through Ollama to find bugs and suggest performance optimizations in your code without rewriting your style. Built with Flask, tested with pytest, and shipped through a Docker and GitHub Actions pipeline.
AI-powered code complexity analyzer. Evaluates Big-O efficiency and generates optimized algorithmic variants in real-time.
Demo of the optimisation of Pure Python code to its equivalent code in the Cython
No more manual minifying — just run and go, instantly shrinking your code
📊 Present compiler design concepts through an engaging PowerPoint, showcasing key elements and insights for effective learning.
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