(Prompt 4, Group 1) Distance matrix & PCoA plot
It is a project that utilizes machine learning algorithms and artificial intelligence (AI) to predict when equipment is likely to fail. The goal of this project is to improve operational efficiency.
Public transit system in Riga invokes a lot of emotions - few of them positive. Can we try to tackle some of the problems and improve its efficiency? We sure hope so!
LANE revolutionizes urban planning with accessible smartphone sensor data to pinpoint patterns that amplify unsafe driving behaviors and identifies bottlenecks that cause congestion and accidents.
User friendly, user centered safety system to promote driver welfare in the city of chicago.
Layon allows users to strategically and geographically plan their next career moves while avoiding the "layoff hotspots".
Using statistical methods, we created predictive models accessible via a data visualization dashboard to look at the anticipatory outcomes of natural disasters.
A webapp that lets you explore unique user-generated recipies to try.
AI-enabled physician assistant for automated clinical summarization and question generation. Empowering physicians to achieve accurate diagnoses and effective treatments.
An R Implementation of Conway's Game of Life
WildfireWatch uses predictive modelling on real historical wildfire data to predict the likelihood of wildfires occurring in your area!
First-generation college students face many challenges throughout the college application process, starting right from the initial college search.
Here at Site in-site we use ML/AI techniques to ensure that our customers are alerted the moment a potentially lucrative piece of land goes up for sale ensuring our customers never miss a good deal.
Make safer COVID decisions by breaking down vaccine effectiveness to the day.
It's a Work Out Around You!
We use NIST-MST algorithm for differential privacy to prevent reconstruction attacks. We examine its effects on different models, and maintain a reasonable degree of accuracy while improving privacy.
Harnessing Python, R, and Excel to safeguard taxi cab driver and passenger data.
Pill Box limits patients' access to prescribed opioids at only specific treatment times while recording dose times and communicating with the prescribing doctor to prevent opioid abuse.
We've all seen the news of Inflation. We developed a user-friendly program in Rstudio to show students how their current savings and investments perform in comparison to growing inflation.
Privacy is of vital importance in this big data era. Companies providing query services and ML algorithm endpoints should take care of any form of threat to their data privacy.
In Genshin Impact, there seems to be a simple random process by which rare items are obtained from loot boxes. However, a deep learning model and post-hoc interpretability tells another story.
Patient safety is the fundamental component in healthcare services. This project aims to develop an effective model to decrease possible preventable adverse effect rate in practice.
Milk plays an important role in our daily diet. The predictor will help people to identify the milk quality using some important factors.