A Discord bot and a Web App that uses Artificial Intelligence and Named Entity Recognition to detect and tag proper names in a given sentence.
Recommends papers from call-for-papers.sas.upenn.edu
It's an attempt to identify users who spread misinformation during emergency situations.
My goal is to predict the color of the wine from the Wine Quality Dataset and calculate training and testing errors.
In a year that feels like we're burning alive, Bridge hopes to bring everyone a bit closer together
Health Care System integrated with Chatbot, Heart Attack Predictor, Disease Predictor and Doctor-Patient Chat System
Predict the future traffic number using a efficient and user friendly tool.
My goal is to use historic medical data to predict whether a user may have diabetes. I have created a simple, easy to use web application to return a result using a users medical information.
This is an unfinished project for problem 3 that would have needed much more work to have a decent model. There may be some useful code in the EDA/integration of data from NOAA sections.
A dashboard that shows COVID data visualizations and predictions using machine learning.
Switzerland coronavirus scare map that shows scare and cases levels in cantons based on articles, tweets and confirmed cases and deaths
Curious about your risk of contracting COVID-19? Use our web app to figure out. Get yourself tested if the score is high!
A mobile app to predict diabetic retinopathy from eye fundus images using computer vision.
Fondue is created to encourage the Swiss citizens to take care of their well-being while considering the environment and the fellow citizens around them.
A machine learning solution to the problem of classifying damage grades of buildings using categorical to probabilistic distributions.
Get your data from the Source
Crowdfree - find the best crowdfree places to go
Elevated phosphorus level in water is a precursor to harmful algae blooms. Our model predicts total phosphorus in the Chesapeake Watershed Area from water quality metrics.
An unsupervised, data sensitive, personalized music recommendation algorithm where the recommendations are tailored to qualities YOU like in a song, not based on other user's data.
Want the perfect music for each stage of your workout? HeartBeats recommends songs based on your goal heart rate for the perfect optimized workout session!
Analyze the how atypical factors (in conjunction with typical factors) better approximate changes in house prices
Inform voters with the cold hard facts
With seamless data collection, Animo allows clinicians to provide personalised regimes to patients suffering neurodegenerative diseases, transforming the treatment landscape and the lives of patients.
Demand forecasting with monitoring of storage of raw materials in warehouses .