Technical Projects

GymBuddy (Capstone 2023 Spring)

Jan 2023 - May 2023

I worked with a team of 4 Comptuer Science students to build a web application to make reservation of equipment in fitness center with a real-time status tracker dashboard. I worked on the back-end and database of the application, including the database design and implementation (MongoDB) and the RESTful API (FastAPI) design and implementation. I also helped another team member to build the tracking system of human body detection in the fitness center using OpenCV.

Check the source link of 👉 Github

Check our final project report 👉 here

Building Ontology Classifier (Capstone 2022 Fall)

Aug 2022 - Dec 2022

I worked with a team of 5 Comptuer Science students to build a classifier that can put any product or service into a correct class of the Varis Ontology that has many classes arranged in a hierarchy. I worked on the SVM classifier involved using BERT NLP module, with grid search as hyper-parameter tuning and K-fold Cross Validation as one of validation methods. Due to the signed NDA, I won't be able to provide further details other than our public presentation video and slides.

iCfire (Aggies Invent - First Responders)

April 2022

I worked with a team of 6 engineers to design a Helmet-mounted thermal imaging feedback device with 5 students to make firefighters aware of extreme temperature change. Our team brainstorm the idea and made a prototype using Arduino thermal camera and output elements to detect real-time temperature change and alert firefighters in 48 hours. I worked on the Ardunio embeded code to check record the temperature in real-time and make either sound or LED feedbacks based on the temperature change.

This project awarded the the Third Place Winner in Aggies Invent - First Responders with 500 dollars reward.

Identifying and Understanding ISIS Tweets

Sep 2021 - Dec 2021

During 2022 Fall, I took CSCE489 (Data Analytics for Cybersecurity) and did this project with other two graduate students. We used the dataset from Kaggle and the NLP techniques, such as TF-IDF and LDA, to analyze the tweets and identify the ISIS tweets classified by different topics.

Check the source link of 👉 Github

Throne Locker (TAMUhack 2021)

Feb 2021

I worked with a team of 4 engineers to build a mobile app and make a storage box to solve the American Airlines Challenge. Our team brainstorm the idea about how to improve the passengers' flighting experience and developed it. I worked on the front-end development by using the Kivy library in Python, worked on data transmission in the cloud server.

This project awarded the Best Hardware Hack Sponsored by Digi-Key among 150+ teams.

Check the source link of 👉 Devpost

Check the source link of 👉 Github

Search City Tool (TAMU Datathon 2020)

Oct 2020

We want to provide people with the characteristics of major cities in the United States. The design of our project was inspired by websites like US News Ranking and we spare no efforts to make our project more unique.

Check the source link of 👉 Devpost

Check the source link of 👉 Github

Gikiyin (2020 TAMUG eSMART Competition)

Feb 2020 - May 2020

For the second semester during my freshman year, I led a team of six engineering students to participate eSMART - "A semester-long, interdisciplinary competition, eSMART tasks student teams to utilize their innovation, creativity and communication skills to create, race and present a remote-controlled water vehicle." During that competition, we designed and built a water vehicle. I was responsible for connecting EV3 controller to computer and writing a script for controling the boat.

This project awarded the First Place with 500 dollars reward.

Preclinical Stages of Alzheimer's Disease Classification by a Rs-fMRI Study

Jul 2018 – Nov 2018

When I was in high school, I had a chance to be a student research assistant worked at Laboratory for Brain Science and Neurotechnology, Beijing Institute of Technology. I assembled a collector of the brain wave, experienced the electric welding and the circuit setup, utilized MATLAB to analyze 500+ patients' brain wave data from hospital, As a result, I collaborated with 6 teammates to write and publish the SCI essay "Preclinical Stages of Alzheimer's Disease Classification by an RS-FMRI", and attended the 2018 11th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI 2018).

Abby Xu

614 Holleman Dr.E, Rm 333
College Station, TX 77840

2023 - Rong(Abby) Xu