ML@Purdue

VEX Robotics AI Competition We are developing and releasing computer vision packages for the VEX robotics community to use and create autonomous elements of their robots. Project Manager: Nicholas Wade

Algo Trading Learn about algorithmic trading and financial concepts, implement trading strategies, and send teams to trading competitions. Project Manager: Grant Rivera

TE Connect Compete in TE Connectivity AI cup, tasked with developing a time-series forecasting model to predict financial sales for 18 months using external indicators and economic factors. Project Manager: [Alexiy Buynitsky](https://www.linkedin.com/in/alexiybuynitsky/)

Kaggle Team Data science competitions done in Kaggle. Involves using python to extract information from data sets to solve challenges. Project Manager: Neil Sahai

Time Series Forecasting for Air Pollution In the Time Series forecasting for Air Quality/Pollution group, we are currently working on building an LSTM neural network model with the goal of predicting daily concentrations of PM10 (a pollution metric) in LA, California. We are also carrying out statistical analyses to contextualize why LA is highly polluted and come up with recommendations/policies to mitigate the effects of high pollution events. Project Manager: [Sameeha Afrulbasha](https://linkedin.com/in/sameeha-afrulbasha/)

Eye disease detection We are attempting to create a dataset of eye diseases taken from in front of the eye (something that can be recreated easily with any modern phone) using GANS and then attempting to use a neural network to detect what disease is present in the eye. We are also attempting to do this using digital retinal scans. Project Manager: [Ivan Phillip](https://www.linkedin.com/in/ivan-philip-51380b250/)

Chatbots Learn how to prompt and sample from Large Language Models(LLMs) to create chatbots. We’ll be working with models such as GPT-3(the one that powers ChatGPT) and others. End goal of the project is to make a modular, customizable chatbot that can be plugged into any platform(Discord, Slack, a website, etc.) Project Manager: [Sagar Patil](https://www.linkedin.com/in/patilsr/)

Lightning Wildfire Lab As the climate changes and certain places are becoming more hot and less humid, we predict an increase in the risk of wildfire ignitions due to lightning. Our goal is to predict wildfire ignitions caused by lightning, as well as wildfire spreading and lightning striking patterns using neural networks driven by high-dimensional satellite data, and interpret the results using explainable AI techniques. Project Manager: Michael Wang