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Public Policy: Identifying bad restaurants using consumer ratings to direct limited Health Inspection machinery
Using public sentiment on Twitter to generate stock trading recommendations
Have you ever doubted the authenticity of a news? Fake news detector will evaluate your text and give our idea!
A chrome extension that helps you to look through filter bubbles with the power of AI and Machine Learning
Babel talk is a peer-to-peer, real-time video calling app that allows you to translate your voice in real-time.
AI on Demand Advising tool for students and advisors for universities.
Using technology to bring people together to solve problems and create meaningful change
Machine learning to optimize rescue mission. Used NLP methods to retrieve weather informations.
Human Trafficking Textual & Emoji Analysis and Feature Generation for use with Machine Learning
AI based interactive chat bot messaging service for Prudential customers
Let's use Google Assistant to help us build a better care continuum for hospitalized patients
Prevention is better than cure. Embed safety into your daily routine.
a chatbot to help users find the perfect gifts
helps sellers to identify important product features that customers care about and their sentiment
An application that transforms your reading experience by breaking text articles down into Gifs in a VR environment
WTFthisarticle is a web application that analyzes news articles, tests for biases and offers non-biased alternatives
Connecting people who care...with causes that matter
Connecting teenagers with teenagers to make mental health easier and more accessible than ever
Using the Google Cloud Sentiment Analysis api the project takes twitter data and outputs it to a graph.
Dwell (short for Do Well), is a web app that uses Machine learning and data analytics to
An easy way for college students to find free food around campus and earn rewards
NarWord is an online tool designed to provide alternative ways to present your writing and ideas. #Riot #Google
What if we could spend less time looking for things and more time doing things?
Sentiment analysis for received emails
