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IAmAKiwi

PROFILE

Iamakiwi

Worked on enhancing non-live video analysis capabilities in the Purdue-Artificial-Intelligence-in-Music/Evaluator-code repository by developing per-frame extraction utilities for offline evaluation. Implemented getVideoAnnotations and getVideoBitmaps functions in Kotlin to provide frame-level detection results and timestamped bitmaps, leveraging FFmpegKit for video processing. Introduced asynchronous, multi-threaded processing using Kotlin Coroutines to improve throughput and scalability, with configurable concurrency for flexible resource management. Refactored the codebase to iterate frames based on frames per second, optimizing data flow for offline analysis. Documented memory usage considerations for bitmap extraction, ensuring users can manage resource constraints effectively during high-volume video processing tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
275
Activity Months1

Work History

September 2025

2 Commits • 1 Features

Sep 1, 2025

Month: 2025-09 — Focused on non-live video analysis enhancements and concurrency improvements in Purdue-Artificial-Intelligence-in-Music/Evaluator-code to enable richer offline evaluation and scalable processing.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaKotlin

Technical Skills

Android DevelopmentConcurrencyFFmpegKitKotlin CoroutinesMachine Learning IntegrationVideo Processing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Purdue-Artificial-Intelligence-in-Music/Evaluator-code

Sep 2025 Sep 2025
1 Month active

Languages Used

JavaKotlin

Technical Skills

Android DevelopmentConcurrencyFFmpegKitKotlin CoroutinesMachine Learning IntegrationVideo Processing