Provide, a fun, interactive game that helps UC Davis become more energy efficient. Any implied association with "Game of Thrones" is purely coincidence!
Our entry for the 2020 Data analytics event for Hexagon
Determine which US cities are most at risk of being Coronavirus positive based on international flight data
Electricity is wasted each second we leave our lightbulbs on. The impact this has on your electricity consumption is huge. Raven's light provides insights to reduce the use of lightbulbs in the house.
Combining Grocery Store Lineups with Banking Transactions
Automated Forecasting Engine for Sales, Revenues, Operations and Demand Prediction for multiple time series with a single button click.
WealthiFy would help customer track their income and spending habit. It automatically reviews account holders spend patterns & suggest right bank product that will help make better investment choices.
Automated Bechdel Test to portray the gender inequality in the movie industry (the rotten tomato of gender studies)
A website used to analyze and visualize consumer data provided by Mistplay.
Feeling overwhelmed by the huge number of new ML papers coming out every day? ArXivNet leverages NLP, metadata from Semantic Scholar, and powerful visualizations to help you stay on top of new papers.
Predictive safety analytics for truck drivers operating in the Waste & Recycling Industry to help save lives and improve sustainable outcomes
We give you a smart way to prepare for and also handle the aftermath of earthquakes
RisEd is a smart classroom system that seeks to avoid teachers' biases in calling on students
Staturam is an innovative application that detects the users' posture when doing exercise, with the objective of correcting, preventing and improving the exercise effectiveness.
Visualize your facial expressions in real-time
Reinterpreting cellular automata to include a messaging system that allows us to map an input space onto itself in a very unique way.
A realtime wildfire visual recognition tool to facilitate fast and accurate response times
predicting forest fires with historical data
This project combines data scraped from twitter.com and airlinequality.com to determine user sentiment using machine learning
Enhance dataset visualizations by using your fingers to control the view with the help of a Leap Motion Controller.
Unsupervised aspect based sentiment analysis of JetBlue reviews
A real-time social media monitoring system to track customer behaviors towards brands by identifying sentiments fluctuation, analyzing trending topics and geographic segmentation.
Coke can or landmine?