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We want to educate the NYC community on fare evasion in NYC subways, and to think about the question: Are your station more prone to fare evasion, or is there disproportionate police presence?
A simple interactive map that reveals where Texas data centers are located, helping people understand the hidden infrastructure behind the digital world.
Control your world with a single swipe.
hi.
A machine learning tool that predicts 30-day hospital readmission risk before discharge, enabling early interventions that reduce costs, improve patient outcomes, and help hospitals avoid penalties.
Events Central is a AI expedited user interface event development tool that helps organizations create events, attract attendees, and turn every event into useful analytical data.
We intend to make a program to create a personalized diet with suggested recipes. We will consider height, weight, gender, dietary restrictions, desired cuisine, health goals, etc.
Where AI Meets Clinical Discovery
A Pokemon battle simulator, using a custom-made GUI and AI pokemon trainer.
We're 4 Datas in a Set, for our project we discuss the strategies that cause F1 teams and drivers to win, and what mistakes cause them to lose, using R and Python for sorting data with AI integration.
The future has footnotes
VectorForgeML is a high-performance machine learning framework for R powered by a C++ engine, enabling faster model training, efficient pipelines, and scalable ML workflows.
We have created a website to rank companies based on categories about gender equality and working environments.
VectorForgeML is a high-performance machine learning framework with a C++ backend providing fast implementations of ML algorithms like Logistic Regression, Random Forest, KNN and PCA.
We built a rare disease platform that ranks repurposing drugs with clear evidence and uncertainty. Validated on known therapies and FDA labels also finds new targets when no options exist
A capacity-pressure decision framework that turns Toronto Shelter occupancy data(2024-2025) into targeted actions: restore offline beds, prioritize expansions, and test scenarios to boost resilience.
Observing stress in Toronto's Public Shelter systems
We investigate shelter occupancy seasonal trends.
Who Pays More, Who Pays Less, and Who Really Controls the Sky? Our analysis goes beyond distance to identify which predictors truly influence outcomes for individuals like us.
Engineering Endpoints for Tiny Cohorts
Does an invasive beetle help your golf game? Find out here.
SBC-Housing-Explorer explores the history of SBC housing and occupation data to provide visualization and a predictive model for housing burden with an AI Advisor.
Analysis of relationship between going to class and stress levels
