PROJECTS

Projects are where members go deep. Small teams, real stakes, weekly syncs, and deliverables that go on your resume. Past teams have filed patents, won national competitions, and deployed products with real users.

PROJECT HIGHLIGHTS

COMPETITION

TE AI Cup

1st National / 2nd Global (2024)
2nd National / 3rd Global (2025)
2 Patents Filed

ROBOTICS

RoBoat

2nd Overall Grand Champion
AIMM ICC Competition

PRODUCT

InboxPilot

4,000+ emails processed
100+ auto-generated drafts

CURRENT PROJECTS

Each project operates as a focused team with clear milestones, weekly syncs, and deliverable goals. Projects typically run for a few semesters with 3-4 major milestones. Projects are time intensive and expose members to a wide range of skills and technologies. More information can be found on our notion page.

Spring 2026

4-6 hrs/week
open
Dermatological Image Analysis
Computer Vision Healthcare

Exploring multimodal foundation models for dermatological image analysis for acne grading and scar classification.

Ishaan Buddharaju , Advisor: Dr. Josephine Nguyen

Spring 2026

4-6 hrs/week
open
Autonomous Drone Mapping
Computer Vision Process Control Robotics

Mapping the world with drones autonomously. Requires C++/Python, robotics experience (SLAM), Linux CLI, VMs, and Docker.

Nathan Miller

Fall 2025 - Spring 2026

3-5 hrs/week
open
VGCRL
Reinforcement Learning

Using pretrained language models and transformers with reinforcement learning to play Pokémon Video Game Championship competitively.

Akkshay Rajan

Fall 2025 - Spring 2026

4-5 hrs/week
open
Kalshi
Finance Time Series Modelling

Building an ML model to predict the weekly average amount of TSA check-ins in the US to place profitable bets on Kalshi.

Eubene In

Fall 2025 - Spring 2026

4-8 hrs/week
open
AI Student Advisor
Generative AI NLP Software Engineering

LLM chatbot that acts as a student advisor. Involves various flavors of RAG and NLP techniques.

Andrew Qiang

Fall 2025 - Spring 2026

3-4 hrs/week
open
Kaggle
General

Learning through participation in Kaggle Competitions. Requires basic Python and willingness to learn!

Arnav Mandal

Fall 2025 - Spring 2026

10 hrs/week
closed
DeepQuery
Generative AI Software Engineering

Benchmarking platform for AI search tools. Works with a YC startup.

Taaha Khan , Advisor: Lewis Polansky (Captain)

Fall 2025 - Spring 2026

3 hrs/week
closed
NFL Predictive Resource Allocation
Time Series Modelling

Predicting Team Success in the NFL.

Pranay Nandkeolyar

Fall 2025 - Spring 2026

10 hrs/week
closed
TE AI Cup 2025-2026
Computer Vision Process Control

Scholarship project with TE Connectivity. Full year commitment.

Paul Jiang , Advisor: Sonny Osunkwo

Fall 2025 - Spring 2026

6-7 hrs/week
closed
Robot Vision
Computer Vision Generative AI Robotics

Computer vision algorithms for autonomous robotic navigation. Submits to industry challenges.

Manav Gagvani

GET INVOLVED

Join a Project

Applications open at the start of each semester. Projects are competitive (~20-30% acceptance rate) and require demonstrated ML experience or strong technical background.

Applications work in two phases:

  • A general application form consisting of general information about yourself, your resume, and an ML assessment (or equivalent for non-ML roles).
  • A project selection form to indicate your interest in a project. This usually releases after all new projects have been announced.

To be considered for a project, you must complete both phases. A project manager will review your application and select you for a project if they believe you to be a good fit. The project manager may have additional questions or requests before you are selected.

Lead a Project

Have an innovative idea? PM applications open before project recruitment. You'll work with our Project Advisor to scope, recruit, and execute. Please note that we expect excellence from project managers in both leadership skills and technical expertise.

Not Ready Yet?

Join the Accelerator Program and build up the skills you need to succeed in our projects. We also recommend that you read through the Dive into Deep Learning online textbook to gain a solid foundation in machine learning.