Motorcycle Lean Assist uses a convolutional neural network to detect the lean angle of a motorcycle through image classification, providing you with rider feedback on your current lean angle so you don’t have to guess.
Tim's project explores the conversations about climate change that took place on Twitter in March 2017. With 1 million tweets from 560,000 users, Tim identified people belonging to different communities and used tools such as the Twitter API, Spark, NetworkX, and Gephi to derive insight from those conversations.
Using a convolutional neural net in TensorFlow, Max developed an application that can improve brand analytics through logo detection in images.
Naoya explores the intersection between data and art by designing a recurrent neural network utilizing Long Short-Term Memory nodes (LSTMs) to learn patterns in the Six Cello Suites by J.S. Bach and generate its own musical fragments.
To combat flaws in other reccomendation systems, Will decided to use natural language processing of beer reviews to find similarity of language used to describe beers. He found the words people use to describe beer give better results than arbitrary scores or styles.
The legality of and public’s view towards marijuana is rapidly changing as more states decriminalize and legalize the drug. As such, how have the words associated with marijuana in news articles changed over time?
Using Flask, Justin created a web app to combine his passion for photos and cars. Motordex uses the decision tree process and different models to identify cars based on a submitted picture.
You don't have to be an expert to know that password security is a big issue for companies these days. It seems every other week you hear of a well known website getting hacked. Hasan Haq's project uses neural networks to generate "dictionary" word lists to be used in password cracking.
MedTracker i s a system to track your (psychiatric) medications and your moods and to compare what is working well for other users. Users can register as a patient or a doctor.
The Clothing Predictor is a web app that uses convolutional neural networks to identify images with one person in them, and then predict the clothing being worn by that person.
MemoTrek is an application that takes your travel photos as input and makes personalized recommendations for future travel destinations. It provides two types of recommendations: you-may-also-likes for a similar type of experience and something-different for new adventures.
As more data is sourced through satellite imagery it has become an important task to accurately identify important hotspots and targets within these images so as to classify them for practical use.
Emily Barry, Data Scientist at LegalServer
The Supreme Court is arguably the most important branch of government for guiding our future, but it's incredibly difficult for the average American to get a grasp of what's happening.
Micheal Lai, Strategy Consultant & Data Scientist at IBM
Micheal created a system that can track players in a basketball clip and translate them to a coordinate grid. This kind of motion tracking already exists in the form of SportVU - but you can use the accessibility of YouTube clips to create player tracking.
Emily Schuch, Data Scientist at Assembly Media
The HIV incidence rate is defined as the number of new HIV infections in a population in a given year. A rate of 0.4% means that 4 out of every 1000 people became newly infected with HIV.
Brian Kim, Data Scientist at FabFitFun
The app tracks twitter trends in volume, sentiment, and topicality for 2016 Election candidates. It was done using Flask, MongoDB, D3, Vader Sentiment Analysis, and Gensim on an EC2 Server.
Rui Chang, Lead Data Scientist at Target
This project is trying to estimate house prices based on the features using publicly available data, and build a web application for house prices estimation.
Ken Myers, Jr. Data Scientist at Uncommon Goods
Ken uses computer vision to solve KenKen puzzles. (Currently this application only accepts 4x4 KenKens). Simply upload a puzzle and get the solution.
David Dupuis, Data Scientist Researcher at Kwanko
There are some key elements to coding the game that can and probably should be memorized as they have other practical applications in computer science.
Jeff Wen, Data Scientist at Tesla
Visaurant is a reimagination of the way users search through images that they are interested in. One prime use case for Visaurant is in sorting and filtering through food images (hence VIS -ual rest- AURANT).
Jamie Fradkin, BuzzFeed, Jr. Data Scientist
Who among us hasn’t fallen victim to the addictive power of a binge-worthy Netflix show? For Jamie's final project at Metis, she chose to explore elements in popular shows that might lead you to start “binge watching” on Netflix.
Ash Chakraborty, Data Scientist at Credit Sesame
At a recent DataKind SF event, Ash was rather intrigued by the challenges faced in investigating wage theft and other labor violations not just throughout the nation, but also specific to California and the Bay Area regions.
Frederik Durant, Staff Member Data Innovation at Colruyt Group
Frederik delved deep in the micro-finance mechanics at Kiva, looking for a practical problem to solve.
Yong Cho, Data Scientist at GrubHub
Yong built an analytics tool for Vantage sports.
Henri Dwyer, Data Scientist at Dataiku
Henri is currently working on classifying chords from audio using neural networks.
Ryan Lambert, Data Scientist at Gild
PUBmatch.co makes it easier to parse through the giant open access database PubMed by allowing you to input anything from a news article clipping to an email thread.
Garrett Hoffman, Senior Data Scientist at StockTwits
Garrett's project explores the "physics of pop culture", analyzing the culture that we love to consume every day with data science.
Andre Gatorano, Data Scientist at Blitsy
In the spirit of the Kaggle revolution, an industrious and risk taking hedge fund put their investments in the hands of the public.