We want to leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to strategically apply AI and machine learning in our organization. Through using internal and open source data and applying analytics models, methodologies, and machine learning tools, we hope to get an end-to-end machine learning solution.

The goal is to build a League of legends Smurf Detector. The machine would go trough every current user and new user of eDoxa.gg to make sure that the summoner name used for his account is not a smurf. The machine should provide a report on the probability of the account being a smurf.

Positions available: 1-3 students working in collaboration.

Students should be prepared to:

• Identify and present multiple algorithms using League of Legends api to detect potential smurf accounts.
• Prepare a plan
• Develop a unique machine learning solution, based on the the latest technology.
• Create a report that provides an in-depth overview into the AI solution.

A few areas of specific interest for us include:

• Recommendation engines
• Fraud detection
• Gaming
• Esports

Mentorship and feedback twice a week