Intermediate Project

This is your capstone: a project where you put everything together. So far you have learned the pieces — data preparation, model training, evaluation, and deployment. Now you will run a full mini-project from start to finish, choosing ONE of three options and carrying it through every phase: define the problem, gather and clean data, build and evaluate a model, and present your results.

Your three options: (1) Build a customer prediction model — predict which customers will leave (churn) or buy again, using classification. (2) Create a sales forecasting system — predict future sales from past data, using time-series or regression. (3) Build an AI-powered business assistant — use a large language model (LLM) to answer staff or customer questions from your company's documents. Pick the one closest to a real need you understand.

For example, imagine an Addis Ababa coffee exporter. A customer prediction model could flag long-time buyers who suddenly slowed their orders, so the sales team calls them before they switch suppliers. A forecasting system could predict next quarter's demand so they buy the right amount of green beans. A business assistant could let new staff ask 'What is our refund policy?' and get an instant answer from the company handbook.