Our small contribution to those who suffered in disasters. A webapp dedicated to the people who are in need of help.
No one likes waiting in lines, so how can we use cameras and computer vision to efficiently streamline this process?
Our project can take real-time data to provide comprehensive analysis and prediction of water pump performance.
Our project analyzes and summarizes our findings using the Fleet Fuel Management Data
Rapid investigation of financial signals and strategy backtesting through speech recognition.
NLU-based emotional analysis of major keywords and entities in online communities on Reddit.
Visualize past natural disaster events on an interactive heatmap of the USA
A visually appealing web application that complements a user-friendly multi-dimensional graphic for a large data set.
Project to set up a Microsoft SQL database, upload csv. sales data and display with a graph.
Data for Disaster
We built a model for the rapid analysis of educational infrastructure and identification of underprivileged schools.
Using Data to Track Greener Lifestyles and Reduce Insurance Premiums for Healthy Individuals
Help fire fighters to find the nearest working fire hydrants and display hydrant status in an interactive way
An application to provide some insight on public discussion over a brand
AI-based finance analysis and management!
Plots, stats, machine learning, and more— analyze your data with radically simple, AI-powered conversation
SaveStaks is a web application that is aimed at empowering people to achieve their financial goals.
Comprehensive exploration of over 200,000 Russian sponsored tweets with natural language tool kit and ML classifiers
An all in one suite for farmers
Creating visualizations based off of vitech data, to help view and market insurance
Shows insights about restaurant data from all across the U.S.
Why is the RPC so slow? Is there anything we can do about it?
ML prediction on the Norwell Health Labs dataset.
Assessing journalistic sentiment on public issues over time using IBM Watson