Purdue-Artificial-Intelligence-in-Music/Evaluator-code
Sep 2025 – Oct 2025
2 Months active
Languages Used
JavaKotlinXML
Technical Skills
Android DevelopmentCameraXComputer VisionMediaPipeMobile DevelopmentCameraX API
Paige Lorenz
PROFILE
Paige Lorenz
Worked on the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repository to deliver real-time camera-based hand and pose detection overlays for Android. Focused on enhancing the CameraX overlay pipeline, this developer implemented robust classification result processing, dynamic text rendering, and landmark visualization to improve feedback accuracy and user experience. Leveraging Java, Kotlin, and MediaPipe, they stabilized overlay rendering and ensured compatibility with updated CameraX APIs, reducing runtime failures and supporting deployment across devices. Their incremental, well-documented commits improved code maintainability and set a foundation for future features, while also addressing camera module stability and overlay correctness for reliable, real-time computer vision applications.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
3
Lines of code
1,721
Activity Months2
Your Network
6 peopleWork History
October 2025
7 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical achievements in the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repo. Implemented and stabilized camera-based hand/pose detection overlays on live video, delivering clearer visualization and robust deployment on recent CameraX APIs.
7 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical achievements in the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repo. Implemented and stabilized camera-based hand/pose detection overlays on live video, delivering clearer visualization and robust deployment on recent CameraX APIs.
October 2025
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Delivered real-time Camerax overlay improvements and landmark visualization to enhance classification accuracy, user feedback, and maintainability of the overlay rendering pipeline.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Delivered real-time Camerax overlay improvements and landmark visualization to enhance classification accuracy, user feedback, and maintainability of the overlay rendering pipeline.
Activity
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Quality Metrics
Correctness84.2%
Maintainability85.0%
Architecture81.6%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaKotlinXML
Technical Skills
Android DevelopmentCameraXCameraX APIComputer VisionImage ProcessingMediaPipeMobile DevelopmentUI Development
Repositories Contributed To
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