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We've all had amazing song ideas, but it's hard to actually write a song and see how the idea does, so we built this app using 200k+ songs from Spotify and ML to tell you how popular your song will be
Detecting social distancing violations using Deep Learning
Finding the "right" benchmark price for an Airbnb stay given multiple factors
WorkShield helps employers of essential workers monitor and protect their workforce from the spread of COVID-19.
The following is an AI medical segmentation tool for detecting ground-glass, consolidaton and pleural effusion in patient lung CT scans. Measurements of these classes can enhance COVID-19 detection.
The idea is to collect text and other datapoints from websites and compare them to the terms that we have already listed. The words and phrases we have are real trafficking terms
Win the fight against dirty data by turning machine learning into a game. Introducing data fighter, the premier data tagging and classification front-end for real world, expert knowledge training.
Machine learning algorithm to group patient records into who is likely to be the same patient
Internet trolls seek to create chaos on social media spreading misinformation. For this issue, I worked on developing a deep learning model that detects if post/comment is from a troll or not.
Given a list of medical records, group them by patient
A Web Application Prototype built for Doctors to find out whom to test for the infection first under a limited testing capacity by finding out the probability of a person having the infection.
Simulating COVID-19 spread and visualizing it alongside available data.
model that identifies and matches the various records of a patient to the patient
With cases increases daily, it is important to use artificial intelligence for prilimary detection of covid-19 virus in individuals as it will be useful for detection of individuals in a larger scale.
Screening system for detecting COVID-19 using chest x-rays and CT scans
Envision the Best Future For Your City
Patient Aggregator Through In-depth Examination of Near Text Similarity
I created an infograph highlighting the effects of Covid-19, and what we can do to flatten the curve.
Find out whether you should social distance or not, based on a variety of factors from population density, population age, progression rate, and more
a way to predict corona spread
My idea is to capture the people's bike numbers who are violating the home quarantine and this has some constraints.
Immune response for hospital HR - trace a suspected infected person backwards in time to identify other staff or patients that need to be notified, tested, or quarantined.
Miovision Travel Time Data Challenge exploring the dataset
COVID-19 Pandemic and Forecasting World wide Recovered Cases | Deaths | Confirmed cases
