Our project is an AI-powered coding assistant called *Code Copilot*, designed to help programmers improve and understand their code more effectively. It is built using Python, Gradio for the user interface, and Blackbox AI (GPT-4) to provide intelligent coding responses. When a user pastes a piece of code or asks a coding question, the system sends that input to the AI model to generate helpful advice and explanations. At the same time, the app uses Python’s ast (Abstract Syntax Tree) module to deeply analyze the structure of the code by identifying how many functions, loops, and conditionals it has, and how deeply the code is nested. Based on this analysis, the app automatically generates suggestions such as simplifying nested logic, breaking large functions into smaller ones, or replacing basic loops with more efficient techniques like list comprehensions. Everything—including the AI response, code pattern analysis, and smart suggestions—is displayed in a clean, user-friendly interface. This makes Code Copilot a powerful tool for both beginner and experienced developers to write cleaner, more efficient Python code with real-time feedback.
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