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YouTube Growth Copilot is an AI-powered analytics platform designed to help creators transform raw YouTube Analytics data into practical growth decisions. Instead of simply displaying metrics, the platform combines deterministic data analysis, machine learning, and large language models to explain what creators should do next. The application imports real YouTube Data API and YouTube Analytics API information into a SQLite database, where it detects upload-time patterns, title performance, traffic-source distribution, weak engagement signals, and content trends using Pandas, NumPy, SQL, and custom analytics. A GradientBoostingClassifier predicts whether a newly planned video is likely to perform as Low, Medium, High, or Viral during its first seven days based on upload timing and title features. The structured analytics are then passed to an AI assistant powered by Llama via Groq, which generates upload strategies, content ideas, thumbnail concepts, title recommendations, channel audits, and weak-video diagnoses using structured JSON outputs. The complete application is built with FastAPI, React, SQLite, Docker, and Google OAuth, providing creators with an end-to-end workflow for analyzing their channels and making better publishing decisions based on historical performance instead of guesswork.

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