Akul K. 2025 | BASIS Independent Fremont
- Project Title: Creating a system to detect and filter Carbon Monoxide using IoT and Nordic Thingy
- BASIS Independent Advisor: Mr. Smith
- Internship Location: American Computer Services, Georgia(Remote)
- Onsite Mentor: Vinay Kodancha
The aim of this project is to improve student retention with the use of a detector to help identify CO2 concentration levels in the air. High levels of CO2 result in discomfort which makes it harder to focus, resulting in worse concentration and therefore lower grades. The device used will be a “Nordic Thingy 91,” which contains a sensor that detects CO2 concentration levels. I will build a User Interface for the device to make it easy to detect gas levels by anyone. This interface will provide CO2 concentrations by classroom in real time, graphs to allow the user to track patterns in concentrations, and an alert system for when levels get dangerously high.
My Posts
Week 10 blog
May 12, 2025
Hello Everyone! This is our final week working on the Senior Project, and what a ride it has been! 10 weeks really did pass by in a moment, and I feel like I have emerged out of them with a much stronger grasp of HTML and IoT. Just to briefly recap all that I have […]
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Week 9 blog
May 3, 2025
Hello everyone! We are finally approaching the end of the senior project. This week, I worked on the testing of the product. I installed my devices in three locations: inside my home, outside my home, and in a classroom. However, the classroom device wasn’t sending me any data. I tried for days to get it […]
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Week 8 Blog
April 28, 2025
Hello everyone! This week, I have some great news! I finally got the website working! I first used chart.js to display the graph. As it turns out, using Axios and Vue was far too difficult. Instead, I finished my project with a basic HTML file that only uses chart.js. What my chart does is call […]
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Week 7
April 20, 2025
Hello everyone! This week, I spent my time working on a major part of my web app which will display the air quality data from one test device, graphically. I started by parsing the JSON response from the REST Cloud API which contains key information like the date and time the data was retrieved, the […]
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