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Goutam Bose's Projects

prediction-of-weekly-dengue-infliction-using-machine-learning icon prediction-of-weekly-dengue-infliction-using-machine-learning

Using environmental data collected by various U.S. Federal Government agencies—from the Centers for Disease Control and Prevention to the National Oceanic and Atmospheric Administration in the U.S. Department of Commerce—prediction of dengue fever cases reported each week in San Juan, Puerto Rico and Iquitos, Peru is the main aim of this project.

project-tyanisa-to-date icon project-tyanisa-to-date

Helping Tyanisa with her campusing assignment in lieu of a date :-) Just leading the life of a software engineer :-)

real-time-covid-19-tracker-for-slack icon real-time-covid-19-tracker-for-slack

This automated tracker tracks the spread of Covid-19 in a real time basis by scraping data from Ministry of Health and Family Welfare and notifies the same at Slack

sign-language-recognition-using-scikit-learn-and-cnn icon sign-language-recognition-using-scikit-learn-and-cnn

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

skillscraper-from-arminus.talentnow icon skillscraper-from-arminus.talentnow

This repository scrapes the key-skills listed in a job offer at http://arminus.talentnow.com/Careers/CurrentOpenings.aspx if a Job Code is provided and in return shows a list of questions fetched from the Cleartest API in a chat application format.

traceroute icon traceroute

Reproduction of traceroute utility using ICMP packets

wikifinder icon wikifinder

Given a topic name this project finds you the most suitable parent topics for the topic, searching the Wikipedia Category Network (WCN) related to that topic by the help of a statistical approach. It helps you form an autogenerated topic tree for a given topic.

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