The Food Trucks Association of Canada aims to better understand the challenges faced by food truck operators by analyzing their questions and posts on public forums. The project involves developing a script that can automatically categorize these posts into predefined categories, such as licensing issues, equipment maintenance, location challenges, and business operation cahllenges. By identifying the most common issues, the association can tailor its services and resources to better support the food truck community. This project offers learners the opportunity to apply their knowledge of natural language processing and data analysis to a real-world problem. The script should be efficient, accurate, and easy to integrate into existing systems, providing valuable insights for the association's strategic planning.

The primary deliverable is a functional script capable of categorizing forum posts into specific categories. The script should include documentation detailing its setup, usage, and maintenance. Additionally, a report summarizing the most common issues identified from the analysis should be provided. The script and report will help the Food Trucks Association of Canada enhance its support services for the industry.