Project : Covid-19 detection using lung sounds
In this project I made a Covid-19 detector which uses Lung sounds to analyse and predict the chances of the disease. I used HTML, CSS, JAVASCRIPT and Google Teachable Machine to make the classifier and the website . Check the website out here :
https://mayukhmalidas-covid19lungtest.netlify.app/
PLEASE OPEN THE ABOVE LINK IN PC FOR BEST RESULTS AND TURN ON THE MIC IN YOUR PC
The You-tube playlist from where I extracted the audio is :
https://www.youtube.com/playlist…
Any suggestions is highly appreciated
PS: The classifier is very easy to build, Just put the audio files in Google Teachable Machine and then build a classifier. Then import the Jason file in JavaScript, Cook it up with some Html and CSS and vola - the website will be complete.
Project : Fake News during Covid-19
My second project is " Fake News during Covid-19 " . Initially you can see nodes in different shades of violet. These are the nodes in a social media site. You can start the fake news on any node, by clicking on it. You can also adjust the consciousness of the people to find out how much influence it has on spreading of Fake news. Finally there are two bars where you can see how many people ignored the message and how many forwarded it.
You can check out the project here :
https://mayukhmalidascovid19.netlify.app/
Open this link in computer for better results.
Project: Hand-wash timer
This is a simple hand-wash timer made using Arduino Uno, Ultrasonic sensor and Servo motor. The Ultrasonic sensor detects if someone has come to wash their hands. The servo motor receives this signal from the Ultrasonic sensor and starts ticking for 20 seconds. Such a visual display will help to motivate people to wash their hands for 20 seconds.
I have made all the above projects under 2 weeks , working about 2 hours each day behind them , but now I am focusing on to my studies . I will make more new and unique projects soon, when time permits me to do so. Thanks a lot for reading this blog about my projects . Please leave your valuable feedback in the comment section below .
THANK YOU


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