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Learn about Texas A&M University Department of Computer Science and Engineering capstone projects completed in fall 2023 and see our sponsors.

Projects

IntelliFloat is a smart buoy equipped to gather a diverse range of environmental data, transmit all data collected either via satellite or Wi-Fi connectivity through AWS, and display data on a dashboard. The device has a self-powering power system utilizing solar energy. Research Area: Electronic Design Automation and VLSI.

Backstage is an open-source platform for developers to build developer portals, house plugins, tools, and services to facilitate development, deployment, and monitoring of high-quality code all in one place. The project involved creating a plugin, that uses Backstage to track pull requests from Github. Research area: Software engineering.

GyroCube is a device consisting of 3D printed frames housing three motors, microcontrollers, and battery, connected to aluminum wheels. The team programmed the cube to autonomously flip. A website was developed to display a 3D model of the cube and its orientation. Research area: Robotics.

The project involved developing ‘PageOne,’ a health related bioinformatics website with database backend, which provides a secure and user-friendly digital space for under-served pregnant women to store and manage their medical data (in a given Plan of Safe Care document) during pregnancy. Research area: Health.

The project developed an open-source solution to visually summarize and validate a 3D geometry model through a one-page report generator that included images, properties, automatic layout, dimensions, and metadata. Research area: Graphics, Visualization, and Computational Fabrication.

The project involved refining a process to make LLMs aware of private data. An embedding model was used to generate vector representations of the text, inserted into a vector database. The embeddings for the user prompt will be generated and used to retrieve semantically similar results. Research area: Databases, Data Mining, Information Retrieval Systems.

The project involves the development of an application to monitor parking lot usage, which involved gathering statistics including, average parking time of each car, speeding cars, or illegally parked cars. The approach involved a computer vision pipeline, monitoring dashboard displaying the current status of vehicles and more. Research area: AI, ML, NLP; Computer Vision.