This is a self-updating tracker and graph coded with mostly python and panda. View the README file for full details.
A webbased platform for the doctors/pathologists/oncologists to predict their patients diseases/status accurately with the help of ML and reduce the labor worktime.
Our helpbot connects volunteers and people in need! Our bot is based in the Telegram application
A cost effective and time efficient solution for the health industry.
Forecasting and representing the COVID-19 outbreak using deep learning and Google Maps API
Prevent, control and reduce emergency/epidemic risk is a priority. The H_pass app checks travelling people in EU, evaluating the user health condition.
The TP stalker is always watching... so you don't have to! :D
The application is for women safety which analyses the tweets of entered username and display the suspect and their offensive tweets.
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.
Beantworte Fragen über deine Symptome und du bekommst nicht nur eine Handlungsempfehlung, sondern hilfst ganz nebenbei medizinischen Einrichtungen ihre Ressourcen besser zu planen!
Using GPS data and the mobility channels of the infected patients to predict the next COVID-19 Virus ! #AIforGood #CustomizedQuarantine
This project is a web application that aims to visualize and track reported cases of coronavirus in real time, and provides the general public, especially for travelers, with important travel advices.
We made a website with github.io called A Helping Hand. This website helps charities see data from each state depending on the year which is currently 2013 and 2014 data sets.
We developed a new chatbot system for the Hackathon to improve the problem-solving and user friendliness.
Users communicate aggressively on the internet. Methods that automatically deal with that are required, the goal of this application is to apply Natural Language Processing in detecting hate speech.
Explaining the rate of suicide from 1979-2016
autonomous system for hate speech moderation for an inclusive work-space
How do we drop the suicide rate to zero percent? First we must identify those at risk before helping them. This project will identify the character traits that people prone to suicide show.
We are planning to
This project consists of various analysis of CareDash dataset. It has enumerous insights into the business outcomes.
Tracking funds for greater good.
Give key information to our users to empower their choice in selecting the perfect neighborhood for them!
Teaching a computer to recognize toxic comments using Google Cloud Natural Language Processing
Our tool provides up-to-date GIS data against IED threats for local communities in Afghanistan