Explaining the rate of suicide from 1979-2016
autonomous system for hate speech moderation for an inclusive work-space
How do we drop the suicide rate to zero percent? First we must identify those at risk before helping them. This project will identify the character traits that people prone to suicide show.
We are planning to
This project consists of various analysis of CareDash dataset. It has enumerous insights into the business outcomes.
Tracking funds for greater good.
Give key information to our users to empower their choice in selecting the perfect neighborhood for them!
Teaching a computer to recognize toxic comments using Google Cloud Natural Language Processing
Our tool provides up-to-date GIS data against IED threats for local communities in Afghanistan
health, gym, socialization
Utilizing data warehousing and machine learning techniques to help insurance companies determine the best plan
Mapping homeless communities reported through the 3-1-1 line and comparing trends to locations of Affordable Housing
Predicting how likely patients will show up to their appointments
Analysis and Prediction of Lender's Club data
Pioneer lung cancer diagnosis tool. Upload CT scans & get accurate cancer nodules diagnosis within minutes.
The app that deals with emails that don't matter, so you can focus on your important and interesting communications.
How does your Reddit post compare?
Helping people taking care of their skin by reviewing what other consumers say and notice state toxicity reports