Purdue-Artificial-Intelligence-in-Music/Evaluator-code
Sep 2025 – Oct 2025
2 Months active
Languages Used
GradleJavaKotlinTypeScript
Technical Skills
Android DevelopmentCameraXComputer VisionMachine LearningMediaPipeMobile Development
PaoloWang1
PROFILE
Paolowang1
Paolo developed and enhanced real-time gesture and pose estimation features for the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repository over a two-month period. He integrated MediaPipe’s HandLandmarker and PoseLandmarker with Android CameraX, enabling live hand and body pose analysis for music evaluation workflows. Using Kotlin and Java, Paolo improved the detection pipeline’s reliability, refined camera UI overlays, and addressed device compatibility challenges. His work included updating dependencies, optimizing model deployment, and enhancing string detection accuracy through image processing techniques. The resulting system delivered robust, low-latency gesture recognition and stable camera presentation, supporting accurate, cross-device interaction without introducing major bugs or regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
4
Lines of code
1,256
Activity Months2
Your Network
6 people
Work History
October 2025
13 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Focused delivery and stabilization of core Android features for gesture recognition, string detection, and camera UI. Implemented robust hand/bow gesture detection and landmark processing enhancements, improved string detection accuracy within Camerax, and refined camera overlay/presentation to deliver a smoother, more reliable user experience. These changes strengthen real-time gesture-based interaction workflows and improve cross-device reliability, enabling faster iteration and higher-quality user outcomes.
13 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Focused delivery and stabilization of core Android features for gesture recognition, string detection, and camera UI. Implemented robust hand/bow gesture detection and landmark processing enhancements, improved string detection accuracy within Camerax, and refined camera overlay/presentation to deliver a smoother, more reliable user experience. These changes strengthen real-time gesture-based interaction workflows and improve cross-device reliability, enabling faster iteration and higher-quality user outcomes.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Delivered real-time hand detection and pose estimation integration using MediaPipe HandLandmarker and PoseLandmarker, wired into CameraxView for live camera processing. Updated dependencies and added models to support the new capabilities, improving end-to-end evaluation latency and user experience. No major bugs were reported this month; minor integration tweaks ensured stability. This work demonstrates proficiency in computer vision integration, Android CameraX (CameraxView), and model deployment, delivering tangible business value by enabling accurate gesture and pose analysis in music evaluation workflows.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Purdue-Artificial-Intelligence-in-Music/Evaluator-code: Delivered real-time hand detection and pose estimation integration using MediaPipe HandLandmarker and PoseLandmarker, wired into CameraxView for live camera processing. Updated dependencies and added models to support the new capabilities, improving end-to-end evaluation latency and user experience. No major bugs were reported this month; minor integration tweaks ensured stability. This work demonstrates proficiency in computer vision integration, Android CameraX (CameraxView), and model deployment, delivering tangible business value by enabling accurate gesture and pose analysis in music evaluation workflows.
Activity
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Quality Metrics
Correctness79.2%
Maintainability81.4%
Architecture72.0%
Performance67.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
GradleJavaKotlinTypeScript
Technical Skills
Android DevelopmentCamera APICameraXCameraX APIComputer VisionFront-end DevelopmentGesture RecognitionImage ProcessingMachine LearningMediaPipeMobile DevelopmentPose EstimationReact Native
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