Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.

We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.

This will involve several different steps for the students, including:

• Conducting background research on our existing products and the dataset.
• Creating new dataset
• Researching the latest AI / ML techniques and how they could be applied to our data.
• Developing an AI / ML model that provides unique outcomes or insights into our data.
• Providing multiple solutions that can be applied to solve the same problem.

By the end of the project, students should demonstrate:

• Understanding of the available dataset
• UI/UX Design support
• Understanding of the latest AI / ML techniques
• Identification of ways in which AI / ML can be applied to our company

Bonus steps would include:

• Providing multiple versions of potential models and solutions

Final deliverables should include

• A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
• Source materials such as code and workbooks.