Internet of Things (IoT)

We are in the midst of a technological transformation where everyday objects are becoming smarter and constantly connected to the cloud. These intelligent and connected systems, sometimes referred to as Internet of Things, together with the data they produce and consume, hold the promise to improving our everyday lives.


Smartwatch that can Tweet!

Columbia University

Sep 2021 – Oct 2021

• Programmed an embedded system to create a smartwatch that can tweet, in the Internet of Things class
• Reading and Procesing Sensor Data: Adjust LCD screen brightness based on ambient light readings converted using an ADC, and debounce (interrupt only once) buttons that allow user to change the current time and alarm time
• I2C Bus Comunication: Display data on LCD screen
• SPI Bus Comunication: Implement text scrolling based on accelerometer readings
• Interfacing with the World: Connect to Wi-Fi, obtain and modify system time by synchronizing to server, interface with a Geolocation API, feed cordinates into a Weather API to receive weather data, and post tweet using twitter API
GitHub


Project LiT

University of Illinois Urbana-Champaign - HackIllinois Hackathon

Feb 2016

Received recognition for creating one of the best hardware hacks at Hack Illinois, one of the largest University Hackathons in the country with over 1000 participants. We created an internet connected wearable breathalyzer to warn people when they are over the alcohol permissible limit for driving. It uses an OLED panel that notifies you of your blood alcohol content and an RGB LED strip that alerts everyone around you if have crossed the legal limit, so your friends can stop you from driving or stop themselves from getting in the car with you. My contributions included implementing the engineering design process and writing code to integrate all the electrical components using an Arduino microcontroller. Project LiT won top 5 for best hardware hack out of 216 total submissions at the HackIllinois Hackathon at University of Illinois at Urbana-Champaign.
Project LiT | Pitch Deck | Photo Gallery


Project Green Light

Purdue University - BoilerMake Hackathon

Oct 2015

Project Green Light is a social initiative which helps people connect more easily. We struggle and often find it awkward to approach and meet new people in the real world. Over the weekend-long hackathon, my team and I wanted to design something new and bring it to life, and we believed that our product would revolutionize social interactions. We wanted to bring the comfort of interacting with people behind a screen to the real world, using a simple and unobtrusive system. We tried to solve the social engineering problem of finding seats in crowded locations with tables, by building an LED box with switches for occupied, silence or mingle statuses for each table. The beacon provides users with information such as table availability and status through data collected from the Arduino devices. In addition, we want to create a tool which can measure the rate of change in the willingness for people to socially interact with one another in any given environment. My contributions included collaborating on the design and build of the product, developing the product all the way from ideation to completion and working on the presentation and documentation for the project. Project Green Light won top 5 for best hack out of 84 total submissions at the BoilerMake Hackathon at Purdue University.
Project Green Light | Pitch Deck | Photo Gallery


Project BigDoc

Washington University in St. Louis - ArchHacks Hackathon

Nov 2016

Project BigDoc is an end-to-end managed care solution that uses big data technologies to proactively prevent medical emergencies. Healthcare enterprises are currently investing a lot of money in personalized preventative care plans for people who lack access to basic healthcare due to lack of money, transportation or resources. My team and I built a smart wearable with sensors to collect data about the user's health, created a big data algorithm that continuously analyzes data received by the wearable, prepared a web application that displays the data, and integrated a secure chat server that allows doctors to communicate with patients. I managed the engineering development process of the product, generated and evaluated all the content around the idea and designed the solution.
Project BigDoc | Pitch Deck | Photo Gallery