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Make teacher's jobs easier.
Our model takes a particular stock as input, and based off the history of that stock, it predicts the stock price each day for the next 30 days.
Aggregating relevant discussions and news on trading and the stock market from the internet.
Imagine the most powerful ML tools helping you pick stocks on what matters most to you: Fundamentals, Sentiment, Ecological Impact. Minerva learns for you
Map Food Desert Areas That Need Aid In Sacramento and to connect those in need with others around them who are willing to help
Challlenging dataset!
Predicting crop yield in the state of Illinois
Housing in Boston - let's model it and put it on the map!
App that connects students with conceptual doubts to Volunteer tutors through real-time video calls to ensure an interactive learning progress. For underprivileged students who lack quality education
Automating Strategy for Small Business
S.H.A.P.E Videos provide natural human actions for videos such as muting or unmuting using hand gestures and recognizing a raised hand. This makes video conferencing less stressful and more intuitive.
Visualizing the world, one document at a time.
A tinder for hackathons.
Real-time weather forecasting using end-users own pictures. Upload your photo and know what the weather will be like tomorrow.
A Google Chrome extension to hide hate speech and block offensive words on Twitter.
Imagine using AI to solve the resource waste problem in the food industry as well as reinventing the client experience in the food service industry ... here comes Nestor!
Using machine learning, we predict what movies a user would like
Linear Regression Machine Learning model NET GAIN combines Novel, Experimental, and Traditional predictors of GDP to infer changes in the business cycle - a task conventionally done retroactively.
Symptom Buddy is a chatbot that uses AI to diagnose medical diseases
All of us have at some point consulted with Dr. Internet👨🏻⚕️ ! Well Wisher is a workspace that uses firm foundation of the recent medical papers & research to assist in preliminary diagnosis🩺
Our project consists of three main components - an XGBoost machine learning model, a map, and Tableau visualizations. These three components are a powerful set of tools for Chevron stores.
We are predicting hot dog sales at gas stations using Random Forest Regression!
We have developed a model to help Fuel Station Managers not waste hotdogs by predicting the number of hotdogs that will be sold on a given day using a random forest model.
Get the results of UFC matches before they happen.
