UofA DataLab Capstone Projects Delivered

(Image Credit: Priscilla Du Preez. Unsplash.com)

Spring 2025

Deep Learning Pose Estimation.

Tracking animal behavior noninvasively is crucial for many scientific fields. Extracting animal poses without markers is essential in biomechanics, genetics, ethology, and neuroscience but challenging in dynamic backgrounds. Mentors: Nirav Merchant, Carlos Lizárraga, Michele Cosi. Contributors: Adrian Girone, Nick Ferrante.

• GitHub Repo
• Poster

PubMed Central RAG Agent Chatbot

Agent-based Retrieval Augmented Generation of biological sciences research using LLMs. The outcome of this project will be a conversational chatbot able to retrieve and respond questions from an expansive database created with hundeds of thousands of papers. Mentor: Enrique Noriega. Contributors: Abhay Nandiraju, Abhishek Kumar, Dhawal Ajay Gajwe, and Syed Junaid Hussain.

• GitHub Repo
• Poster
• Report

Analyzing how effective the 2023 rule changes were to MLB viewership & attendance.

The project analyzes MLB attendance data (2001-2024) to assess how 2023 rule changes affected fan engagement, excluding pandemic-affected 2020-2021 seasons due to attendance restriction. Mentor: Carlos Lizárraga. Contributors: Alvaro Borbon, Alec Fernandez, and Marissa Ronquillo.

• Poster
• Report

Other projects

• BASIS Charter School Senior Project: ML Weather Forecasting.

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Updated 05/15/2025