C++ Computer Science Gameplay Programmer

Positions Available: 5 teams of 2 students We’re looking for Video Game Programming talent! Do you have a background or interest in game programming? We’d love to see what you would do with our video game THUNDER© with this description https://docs.google.com/document/d/1QKuER-HR_3b-g5zuj0Yp5h4Mww3WYjTPeQp-3Dbwbzs/edit?usp=sharing We are presenting our Pre-Alpha version of our game and moving into our Alpha development stage soon. This is a very exciting time to join us. For your consideration, our multiplayer game is made on the Unreal Engine. We can produce real-time gameplay with our deep character development, which lends itself to streaming Television quality right in the game engine. You will gain, manage, and build a reputation for mastering this organized freedom we’ve designed in gameplay. We’ve got a great UE5 video game design in the making and connected Game App design, great characters, and an interactive, epic story. We have an amazing core team, and you can run around in the game with us and also be blown away by the visuals, audio, and gameplay we have achieved at this early stage. Outcomes Your challenge submission can be an interactive mockup, flat wireframes, a functional website, a photoshop file, a document - whatever gets your vision and ideas across. Please feel free to be creative and depart from the design of the rest of the game if you choose, but submissions that take into consideration our branding will be assessed more favorably. First come, first considered for our C++/Blueprint Computer Science Gameplay Programmer Teams.

LoL Smurf Detector - Strategic AI & Machine Learning Application

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

A slick automated system that fills our database with useful items!

The Coalition for Canadian Police Reform has encountered a major gap in the accessibility of reports, studies, news items and research papers that are relevant to police education in Canada and around the world. Some of these materials are digitally archived in government websites. Others are available by manual searches on academic library search engines. Others are within newspaper archives and still others are current news items in the popular press. They are all from open sources. To further our educational outreach across Canada we need to gather these materials or the links to these materials and place them within a searchable database. We believe the project would sequence as follows: Define project phases by determining priorities and sequencing of the components of the work and by limiting the scope of each phase so that the team members can complete the work within the available hours funded by Level UP. Work to be concluded could be as follows: Determine how to automate the search and collection of relevant materials. Type of software? / Which types of materials are easily collected? Determine the type of database. It could be proprietary like Zotero.org. Or built by the student team. Determine the search methodology. We believe that each link or publication could have key words assigned either manually or automatically. Define the user interfaces for each phase of collection, indexing, search, retrieval. Develop the software solutions. These could use current open-source software or new coding by the team or a combination of the two. Implement and test the product. Teach us old guys how to use it effectively.

Data Analysis

We're a sports tech performance company and we'd like students to help analyze our datasets and pipeline to generate useful insights from the data we collect. From this analysis, we hope to visualize data collected from hardware to test reliability/validity by taking raw data to display in a real-world viewpoint We are working with temporal-spatial data that will be given to the students at various stages of our analysis and they will work with a top level data scientist/analyst (PhD) to: - Use various mathematical and statistical methods to transform data - Use tools/visualizations to view data. Student(s) must have the ability to code in python, MATLAB, and/or react. Please apply/contact for more information.