addff/2503-ITT440
May 2025 – May 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
DocumentationImage ProcessingPyWaveletsPython
Izharris
PROFILE
Izharris
Developed and documented a PyWavelets image denoising tutorial in the addff/2503-ITT440 repository, delivering a comprehensive README that guides users through loading images, performing wavelet decomposition and thresholding, reconstructing denoised images, and displaying results. The tutorial included runnable Python code and referenced related YouTube content to support onboarding. Focused on documentation quality, the work improved README readability by refining code formatting, correcting grammar, and standardizing labels such as changing 'Student Num' to 'Student ID.' Leveraged Markdown for clear instructional materials and emphasized maintainability, enabling faster student adoption and consistent guidance in wavelet-based image processing using Python and PyWavelets.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
93
Activity Months1
Your Network
82 peopleSame Organization
@student.uitm.edu.my28
Work History
May 2025
5 Commits • 2 Features
May 1, 2025Monthly deliverables for 2025-05 in addff/2503-ITT440: Key features delivered include a PyWavelets Image Denoising Tutorial README with a complete end-to-end workflow (load, decomposition, thresholding, reconstruction, display) plus a runnable code example and a reference to related YouTube content. Documentation polish improved README readability and formatting, including renaming 'Student Num' to 'Student ID', enhancing code formatting, correcting heading grammar, and refining emoji/spacing for a cleaner presentation. There were no major bug fixes this month; focus was on documentation quality and establishing a maintainable baseline for tutorials. Overall impact: stronger, onboarding-friendly teaching materials and improved maintainability, enabling faster student adoption and consistent guidance. Technologies demonstrated: Python, PyWavelets, wavelet-based denoising concepts (Daubechies), Markdown/README craftsmanship, and version control hygiene.
5 Commits • 2 Features
May 1, 2025Monthly deliverables for 2025-05 in addff/2503-ITT440: Key features delivered include a PyWavelets Image Denoising Tutorial README with a complete end-to-end workflow (load, decomposition, thresholding, reconstruction, display) plus a runnable code example and a reference to related YouTube content. Documentation polish improved README readability and formatting, including renaming 'Student Num' to 'Student ID', enhancing code formatting, correcting heading grammar, and refining emoji/spacing for a cleaner presentation. There were no major bug fixes this month; focus was on documentation quality and establishing a maintainable baseline for tutorials. Overall impact: stronger, onboarding-friendly teaching materials and improved maintainability, enabling faster student adoption and consistent guidance. Technologies demonstrated: Python, PyWavelets, wavelet-based denoising concepts (Daubechies), Markdown/README craftsmanship, and version control hygiene.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
DocumentationImage ProcessingPyWaveletsPython
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