PROJECTS
The activities and layout of each project will vary based on content. Average projects will consist of recruitment, member training, and about 3-4 milestones each month.
Join our Discord and ask in the general/help-desk channels!
CURRENT PROJECTS
Beginner: Not expected to have experience with ML but they should be familiar with programming. Ex. Kaggle competitions, building applications with OpenAI’s API.
Intermediate: Project members have taken CS373/CS471/CS290 or an equivalent class, or self-taught to that level. Project members are familiar with TensorFlow or PyTorch. Ex. Building an autonomous RC car, creating a chatbot from scratch.
Advanced: Project members are going beyond class work knowledge, or the project requires a large time commitment. Ex. Original research (technically difficult), Creating a startup (time commitment).
Fall 2025
BeginnerPredicting Team Success in the NFL.
Pranay Nandkeolyar
Fall 2025
BeginnerLearning through Participation in Kaggle Competitions.
Arnav Mandal
Fall 2025
Benchmarking platform for AI search tools. Works with a YC startup.
Taaha Khan , Advisor: Lewis Polansky (Captain)
Fall 2025
Pollutant concentration analysis from Satellite Data
Aakarsh Rai , Advisor: Prof. Guang Lin, Dr. Gary Doran, Dr. Sina Hasheminassab
Fall 2025
Predicting and trading markets on NumerAI with time series transformers.
Eubene In
Fall 2025
LLM chatbot that acts as a student advisor.
Andrew Qiang
Fall 2025
Using Monte Carlo Tree Search with reinforcement learning to play Pokémon Video Game Championships.
Akkshay Rajan
Fall 2025
IntermediateComputer vision algorithms for autonomous robotic navigation. Submits to industry challenges.
Manav Gagani
Fall 2025 - Spring 2026
AdvancedScholarship project with TE Connectivity. Full year commitment.