Technology: React JS, Twilio, Rasa, Firebase, Heroku

Description: Created during the CARIRI Byte the Pi Caribbean Hackathon, TT Vaccine Hub is a web application made to be a one-stop hub for users to book their COVID-19 vaccination appointment at any vaccination site in Trinidad and Tobago. Users are able to view all Vaccine locations using an interactive map and a chatbot is available to answer frequently asked questions regarding the pandemic and vaccinations and to notify users about their appointment details. The vaccination sites are also able to sign in and view the appointments made and are able to keep track of how many visitors they can expect each week.

Technical Details: The front-end for the web application was designed using React JS and backed using Google's Firebase.

Fun Facts:

• TT Vaccine Hub was created in 48 hours

• TT Vaccine Hub won 1st Place in the Byte the Pi Hackathon

Technology: CPLD/FPGA , VHDL

Description: A 24-hour clock designed on a Coolrunner-ii CPLD board and was able to display the current time in a 24 hour format. The system included the ability to set the current time as well as an alarm.

Technical Details: An FSM-D Architectural model was used when designing the system. All coding for the system was done in VHDL.

Technology: Android Studio, Firebase, Heroku

Description: Available for download on the Google PlayStore, TTStats is an android application that provides useful real-time Trinidad and Tobago COVID-19 statistics to users. Graphical representations of data are also available to provide a more in-depth look into the pandemic.

Technical Details: The application was built using Android Studio. The back-end of the application was developed using firebase. A web-scraper python script hosted on heroku gathers COVID-19 statistics provided by the government every hour to ensure that the data on the application is up-to-date.

Technology: RFID, React, Raspberry Pi, Firebase

Description: This Fuel Management System was developed for a local company in Trinidad and Tobago to help keep track of the fuel consumption at a private fueling station on compound. The system was also meant to ensure that only verified drivers would be able to access the fuel.

Technical Details: An RFID reader was used along with a Raspberry Pi to detect verified RFID Cards and RFID Tags. The cards were assigned to drivers and the tags were assigned to vehicles. A firebase database was used as the back-end for the system and a React web application provided a user interface where the drivers and vehicles that accessed the system could be listed.

Technology: OpenCV, React, Raspberry Pi, TensorFlow, Firebase

Description: The Live Plants Update System was developed for a local company to keep track of the various operations that occur on a manufacturing line. The variables that were monitored were made available to the necessary individuals almost immediately via a web application. This project made use of computer vision.

Technical Details: OpenCV and TensorFlow were used to keep train a computer vision model to identify items as they pass on a manufacturing lines. The model was hosted on a raspberry pi and was interfaced with a camera that would point at different sections of the manufacturing process. React was used to develop the web application that displayed the live updates from the plant and firebase was the back-end for the system.

Technology: DC motors, STM32 Standard Peripheral Libraries, Bare Metal C

Description: A robotic car made from the ground up using an STM-32 as the microcontroller to interface with the motor-controllers and other circuit elements. The car is to be controlled using a remote control device.