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Georgia Tech
Date
Thursday, April 16th, 2026
Time
6:00 PM – 8:00 PM
Join our Spring Semester Demo Day, where ten project teams will showcase their work applying big data analytics, AI, and data-driven insights to real-world challenges.
Our teams' goal is to tackle problems across sustainability, education, and social equity. This event is an opportunity to see how Georgia Tech students are turning data into meaningful impact, and how you can be involved.
Enjoy networking with talented students and other industry guests while experiencing how data can drive change.
RSVP today and see how data meets purpose!
Browse student project demos
Connect with recruiting talent
Meet potential mentorship teams
Explore sponsorship opportunities
Let us know you're coming and how you'd like to engage with our teams.
10 teams presenting at Demo Day — click any project to learn more.
AI-Powered Boxing Training Analytics
AI-powered boxing training app providing real-time analytics on punch accuracy, speed, and defense metrics
Real-Time VR Sensor Data Analysis
Predicting user emotional and physical states using VR headset sensors and motion pattern analysis
Hydrological Disasters And Disparities
Analyzing watershed anomalies and water affordability patterns to protect at-risk communities and support UN Clean Water goals.
AI-Powered Financial Intelligence For Earnings Calls
Making financial earnings calls easy and understandable to novice investors through an interactive dashboard.
Predicting Delays For The GT Bus System
End-to-end ML pipeline generating custom delay predictions for Georgia Tech Stinger bus routes
Giving Small Businesses The Confidence To Expand
Data-driven predictions of economic growth in Georgia counties to guide small business expansion
Adaptive Learning Through Knowledge Graphs
Transforms PDFs into interactive knowledge graphs and personalized quizzes using Graph RAG and LangChain
Predicting Climate Change Effects On Marine Population Distributions
ML models predicting climate change impacts on marine species for policymakers and activists
Personalized Asthma Risk Forecasting
Mobile app predicting asthma risk using environmental and symptom data
Forecasting Retail Prices for Proactive Shopping Guidance
Chrome extension predicting retail price trends to provide optimal buy or wait recommendations