
Software Development
Hirebeat Inc.
Hello, I'm
Computer Science Major Student at Georgia Tech
Get To Know Me
4+ years
Machine Learning and Data Modeling
3+ years
Software Development
2+ years
Intelligence
Candidate Bachelors Degree in CS
Candidate Bachelors Degree in Discrete Math
Expected Graduating in 2025
I am Xi Chen, a computer science and math double major student at Georgia Tech, with a profound passion for leveraging technology and computer science to drive social change. Over the past 3+ years experience in College, I have been deeply involved in projects that aim to address societal challenges through innovative tech solutions. My curiosity and dedication to technology for society have led me to explore areas such as generative AI technology, software backend development, and complex data analysis through machine learning.
Explore My
Hirebeat Inc.
Create X - GooseCart
Georgia Institute of Technology
Freetech
Our Lady of Good Counsel High School
Browse My Recent
TravelBot is an AI-powered hotel recommender, meticulously trained on an extensive database to tailor recommendations according to users' preferences.
This research introduces a novel intrusion detection system for the Controller Area Network (CAN) in vehicles, aimed at enhancing security against cyber attacks.
This HMI interface is designed to enhance vehicular safety and situational awareness by displaying real-time data, such as vehicle coordinates, and deploying stop sign alerts when necessary. It ensures drivers and autonomous systems are well-informed and responsive to dynamic road conditions, fostering a safer driving environment.
The virtual robot is an advanced autonomous system designed for exploring unknown environments and collecting items along its path. The combination of RRT and particle filtering equips the robot with robust capabilities for mapping, exploration, and item collection, bridging the gap between theoretical simulations and practical, real-world applications.
In this project, I focus on developing the backend infrastructure besides setting up environment to connect an SQL database to the frontend interface, ensuring efficient data retrieval and management. Utilizing advanced SQL queries and stored procedures, I architect a robust data access layer that serves as the foundation for dynamic content presentation and user interaction on the frontend.
I worked on full stack development. The application revolutionizes the management and registration of campus events by centralizing listings, enhancing accessibility for both organizers and participants. It solves the challenges of disseminating event information and streamlining administrative processes, thereby fostering a more engaged and well-informed campus community.
I used decision trees and logistic regression techniques in Python, focusing on crafting an advanced data model designed to optimize vaccination decision-making processes. This initiative aimed at empowering individuals with insightful, data-driven guidance to make informed choices regarding vaccinations, enhancing public health outcomes.
I developed algorithms using K-means clustering in Python to authenticate the validity of banknotes, enhancing financial security measures. This research was recognized for its innovation and published on the International Journal of Computer Applications website.