BTA seeks to harness the power of AI and Machine Learning to generate valuable insights from survey data. The project involves developing an analysis pipeline that processes raw MySQL/CSV survey data to produce quarterly and annual reports on brand and consumer trends. The goal is to enable data-driven decision-making by transforming complex datasets into actionable insights. This project provides learners with the opportunity to apply their knowledge of data science, AI, and machine learning in a real-world context. The tasks include data cleaning, model training, and report generation, all of which are closely related

The project deliverables include a fully functional AI and Machine Learning pipeline capable of processing raw survey data into comprehensive industry reports. The team will provide quarterly and annual insights into cannabis brand performance and consumer behavior. Deliverables also include documentation detailing the pipeline's architecture, data processing methods, and model performance metrics. These deliverables will ensure that BTA can continuously generate valuable insights from their survey data.