Six teams take home top honors at Engineering Projects Expo
Each spring, the Engineering Projects Expo gives our graduating students a chance to show off all they have learned during their time at CU Â鶹ӰԺ.Ìý
Computer science capstone projects are academic year-long experiences. Student teams complete a substantial software project that reinforces skills learned through classwork and prepares them to thrive in the next stage of their careers.
This year, 31 teams of undergraduate students and 18 graduate student teams displayed their projects for hundreds of family members, friends and members of the general public. Ìý
They were also assessed by 18 BS, MS and PhD alumni, judged the teams' technical knowledge; project scope and supporting data; development and repository; testing; product/project functionality; technical communication; and professionalism.Ìý
Read on for more on the top-ranked projects!Ìý
ÌýÌýFirst Place, Undergraduate
NYAGI
Computer-Aided Diagnostic Ultrasound (CADUS). Their machine learning-powered mobile app analyzes ultrasounds in real-time, identifying lesions, cysts and abnormalities while flagging possible malignancies. Designed to function fully offline, it brings critical diagnostic support to low- and middle-income regions where reliable internet access is limited.
ÌýÌýSecond Place, UndergraduateÌý
I’m Puzzled
The I'm Puzzled app uses image processing and AI to help guide a user through completing a generic jigsaw puzzle, using OpenCV and other libraries to mark and overlay puzzle pieces.
ÌýÌýThird Place, Undergraduate
National Animal Foster Network
The NAFN website enables individuals to connect with foster homes to give pets a temporary home in times of need, as well as individuals for such individuals going through tough times.
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ÌýÌýFirst Place, Graduate
Inovonics
2D vectorization of floorplans. The team developed an end-to-end system that converts floor plan images and PDFs into structured vector representations of rooms, walls, doors and windows and automates locator placement.
ÌýÌýSecond Place, Graduate (tie)
Credible
Credible Atlas: Online Portal for AI-driven Data Exploration. An AI-powered data exploration platform that enables users to analyze complex datasets using natural language. By combining LLM agents, schema-aware context from Credible MCP, and interactive visualizations, the system automatically generates queries, produces insights and allows users to publish and share data-driven analytics without writing code.
ÌýÌýSecond Place, Graduate (tie)
SeeMyRace
A crowdsourced race photo-sharing platform for runners, photographers and fans. Powered by AI, it helps runners quickly find their race photos by uploading a reference photo, taking a live selfie, or searching with their bib number.Ìý