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Emanuel Covaci's GitHub stats

๐ŸŽ“ Detecting Fake Accounts on Social Media (My bachelor thesis)

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๐Ÿš€ NASA International Space Apps Challenge

Local People's Choice Winner and Nominations for Global Awards 2018

NASA-Challange-Mother-Bear (https://github.com/NASA-Challange-Mother-Bear/)

https://2018.spaceappschallenge.org/challenges/volcanoes-icebergs-and-asteroids-oh-my/real-time-fire-app/teams/mother-bear/project

๐ŸŒŒ Zero Robotics High School Tournament powered by NASA, ESA, MIT, DARPA

CYS BURGER Team http://zerorobotics.mit.edu/tournaments/24/rank/71/0/

https://www.digi24.ro/stiri/actualitate/educatie/elevi-romani-premiati-de-nasa-si-mit-659653?fbclid=IwAR0GrzSohIRfmoBh4Q6hFvsutIvgFrvG-y5h_3K7yH5u8E6cGsQGTGRwETg

๐Ÿ‘ฎ Member of jury - National Contest of IT&C Projects - InfoEducatie 2018

https://infoeducatie.ro/home

๐Ÿซ County Scholar Inspectorate Timiศ™

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https://www.digi24.ro/regional/programatori-inca-din-liceu-864455?fbclid=IwAR1H37mK8OLwGyNb7zDYemmeH7Pm9lNbpc3wQk9b3DQeNGShbJWjYFqeRzo

๐Ÿ”Ž Spartan Tasks -- hire someone to carry out tasks for you

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https://www.digi24.ro/regional/digi24-timisoara/licitatii-cu-spartani-548666?fbclid=IwAR0UxJQxg51MEcyTPSSCCH2kg0jiIaKVtwGQsfmN6xDn3LlexaqNJmqsU_0

Emanuel Covaci's Projects

dicom-viewer icon dicom-viewer

Digital Imaging and Communications in Medicine (DICOM) is the standard for the communication and management of medical imaging information and related data.[1] DICOM is most commonly used for storing and transmitting medical images enabling the integration of medical imaging devices such as scanners, servers, workstations, printers, network hardware, and picture archiving and communication systems (PACS) from multiple manufacturers. It has been widely adopted by hospitals and is making inroads into smaller applications such as dentists' and doctors' offices.

heart-failure-prediction icon heart-failure-prediction

Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure. Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management wherein a machine learning model can be of great help.

ng-chat icon ng-chat

๐Ÿ’ฌ A simple facebook/linkedin lookalike chat module for Angular applications.

twittop icon twittop

An online application that uses artificial intelligence to detect if a social media account is fake.

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