The main goal of this project is to create an AI and Machine Learning algorithm that can compare our sale prices to our competitor's prices in different regions and adjust our prices accordingly on our Woocommerce site. This will involve several different steps for the students, including:

- Analyzing our existing dataset of products, prices, and competitor prices.

- Developing an AI and Machine Learning algorithm to compare our prices to our competitors.

- Optimizing algorithm runtime performance and assessing areas for improvement.

- Researching other variables that can improve the accuracy of the price comparison.

- Accounting for additional variables in the algorithm.

- Testing the developed algorithm and making improvements based on additional data.

By the end of the project, students should demonstrate:

- Understanding of our existing dataset of products, prices, and competitor prices.

- Understanding of variables that affect the accuracy of the price comparison.

- Identification of areas for future improvement of the algorithm.

Bonus steps would include:

- Testing the developed algorithm with users and accounting for additional parameters.

Final deliverables should include:

- All source code.

- A written report explaining the design process and outcomes.

access to internal servers for testing and development, access to previous work done, and regular meeting with the management team to offer guidance and support