how2meet is a frictionless event manager--meaning it is simple, free, easy to use, and does NOT require you or your guests to create an account or download an app.

I made a camper yayyyyyy

The soil sensor network was my capstone project, which was aimed at designing and building a prototype that would allow farmers to monitor crops remotely, and then be able to make more specific decisions, thereby increasing crop yield while reducing resource use. Three sensor “nodes” each contained a WiFi-enabled microcontroller, LoRa transmitter, soil sensor, GPS, battery, and solar panel and were bundled into a watertight enclosure. The data was collected and transmitted over the LoRa band back to a “gateway” node where the information was uploaded to a local .csv file over the internet using the MQTT protocol and python. This data was then presented and visualized in a browser using the Dash python library for easy and familiar data consumption.

The LIDAR Car is a small autonomous vehicle built for the Buckeyeville M.S. project headed by Dr. Lisa Fiorentini. The car is controlled by a Raspberry Pi and is equipped with a battery, LIDAR sensor, camera, and dual DC motors. My portion of the project was completed over the course of a semester, however the project is ongoing with additional features and research aspects being added gradually.

Over the course of a semester as a team of four, we constructed an autonomous robot capable of performing a variety of tasks such as navigation of a course, color recognition, picking up and placing objects, pressing buttons, etc. In addition to these tasks, there were time and budgetary constraints. In competition, we placed 10th/72 for the preliminary round, and had the third fastest robot overall with a perfect run. Scroll down for a video of a non-competition run of the robot.

Affectionately referred to as “Home-Ease,” this project is a prototype for a IoT consumer electronic device for resident check-in. Using RFID chips, residents check in an out of their house and indicator lights are used to show who’s home. Additionally, residents are able to then use a companion progressive web app to see who is home, and other information. Technologies used: RFID, Raspberry Pi, Python, Javascript, PWA framework, MySQL, CSS, Twilio, 3D printing, RGB LEDs. Project won 2nd place out of 25 teams at MakeOHI/O 2018, Best Aesthetic and continued to be recognized at ShowOHI/O.

Alexa Universal Remote Assistant is a prototype product built over a 24-hour period at MakeOHI/O 2019. It paired an Echo Dot with an ESP8266 nodeMCU board and infrared LEDs to create a standalone, voice controlled universal remote for controlling TVs, projectors, stereos, etc. The remote is capable of powering on/off, adjusting volume, and changing inputs. This project placed 3rd overall at MakeOHI/O 2019 and won 'Best Sprint.'