My proposed model for live tracking the COVID data involves using the real time data as uploaded by common and reliable website sources. I am scraping the data of use, that involves counts such as total cases of a particular state or active cases of a particular state, etc. Then I pass this data to our LCD using a Wi-Fi module of NodeMCU(ESP8266) and display it to our users. The alert system works on a simple if and else condition. Similar to a tracking system, I parse in the active number of active cases, of a particular state, as our conditional statement. I am also fixing a threshold value that acts as an indicator to our alert system and if the threshold limit is breached by the active number of cases, I activate the alert systems.The social distance detector uses an ultrasonic distance sensor to find the range of another being within 6-feet and it comes with an added buzzer that turns on when the distance is less than 6-feet.
A. Live Data Tracker:
- a. The live count is fetched from Zee news’ official website.
- b. The Scrapped data is auto-updated in ThingSpeack Cloud.
- c. The Arduino is coded in an online editor and then is burned with our NodeMCU.
- d. The LCD is connected with our NodeMCU to display our live data.
B. E-mail Alert System:
- a. The electronic mail system employs coding in MATLAB.
- b. The implementation is done using conditional branching in MATLAB.
- c. The number of active cases is considered and based on it an alert is sent to the fed email address of user.
C. Social Distance Detector:
- a. The software simulation of social distance detector is demonstrated using Tinkercad.
- b. It uses ultraviolet sensors that detect the distance if a particular object enters its range.
- c. It is added with a buzzer which starts when the range is less than the specified limit.
Video of the project is uploaded Here