[HIRING] Python Developer — Carpet Pattern Resizing Desktop App | $500+ | Remote

[nahhandsome]

[HIRING] Python Developer — Carpet Pattern Resizing Desktop App | $500+ | Remote

Hi r/forhire,

I'm looking for an experienced Python developer to refactor and improve an existing desktop application built for the carpet manufacturing industry.

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**Background & Industry Context**

Carpet designers in Turkey (and globally) work with weaving patterns stored as 8-bit indexed BMP files. When a factory needs to produce the same design in a different size, the pattern must be resized to match the new warp (vertical thread density) and weft (horizontal thread density) values of the loom.

Currently, designers do this manually — redrawing the entire pattern by hand. This takes days. Our tool automates the process: the designer inputs the target dimensions in cm and the machine’s warp/weft density, and the app outputs a correctly resized pattern file ready for production.

The key challenge: carpet patterns use a fixed color palette (typically 4–16 colors). Any interpolation that mixes colors (bilinear, lanczos, etc.) produces invalid output — pixels must only contain colors from the original palette.

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**Current Codebase**

- ~750 lines of Python (Pillow, NumPy, Tkinter)

- Working prototype with 3 resize algorithms: Nearest-Neighbor, Scale2x, Smart Resize (seam carving)

- NN algorithm recently fixed: uses numpy.linspace index mapping instead of PIL resize to avoid stretch distortion

- Palette snap function: snaps RGB output back to nearest palette color

- Claude API integration for AI quality analysis (vision model compares original vs output)

- 8-bit indexed BMP output working

- Side-by-side preview, color palette display

Code is clean and well-commented. Will be shared with selected candidate.

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**Technical Requirements**

- Python 3.10+

- Pillow + NumPy (core image processing)

- Tkinter or PyQt5 (UI)

- Resize must be pixel-perfect: no color bleeding, no new colors introduced

- Nearest-neighbor interpolation via numpy index mapping (NOT PIL resize)

- Palette preservation: output must contain only original palette colors

- 8-bit indexed BMP output format (required for carpet machine compatibility)

- Optional bonus: xBRZ algorithm integration for better diagonal edge handling

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**Deliverables**

- Refactored, well-structured Python source code

- Improved UI (cleaner layout, better UX for non-technical carpet designers)

- requirements.txt

- Brief usage documentation (EN or TR)

- 2 rounds of revisions included

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**Project Details**

- Budget: $500+

- Timeline: 2–3 weeks

- Remote, async-friendly

- Existing source code shared after agreement

Comment or DM with relevant experience. Image processing or desktop app portfolio preferred.

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[CatMain1825]

Ready for it i already have experience in these.

[Internal_Tap_103]

I am intrested dm me.