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FarzamFattahi/README.md

Farzam Fattahi — Computer Vision and Machine Learning

A gently blinking eye  Hi, I'm Farzam

I teach machines to see and humans to code. Both keep me on my toes.

I build computer-vision tools and explore reliable ML evaluation, medical image classification, and efficient inference. Electrical engineering graduate from IUST, with a minor in computer engineering; Python and machine-learning instructor.

Download my English academic CV Download my German academic CV

Things I've built

Project Focus Try it / read more
Object Detector PPE detection, audited evaluation, and ONNX inference. Case study
MagnetLabel Assisted box/mask annotation with reviewed YOLO/COCO exports. Windows app
SplitLens Image dataset audits for duplicates, leakage, and quality. Live app
Prooflane Screenshot comparison, region review, and HTML reports. Live app
AirCursor Webcam gestures for smooth Windows mouse control. Source & setup

Also: Document Scanner · perspective correction and OCR   /   Biscuit AR · mobile web AR

Research & toolkit

Currently working on brain MRI classification, model validation, and geological fault analysis. My classification and validation manuscripts are in preparation with Prof. Kourosh Parand.

Vision & ML   Python · PyTorch · OpenCV · MediaPipe · scikit-learn · ONNX Runtime
Data & apps   NumPy · Pandas · React · TypeScript · Streamlit · MySQL · Git

Let's connect

Research ideas, useful tools, or a good debugging story — my inbox is open.

Email Farzam at farzamfattahi79@gmail.com Farzam Fattahi on LinkedIn Telegram: @FarzamFattahi Instagram: @frzmftthi WhatsApp: +98 910 494 8474

[email protected]

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  1. object-detector object-detector Public

    Construction-PPE fine-tuning with audited data splits, held-out evaluation, and PyTorch/independent ONNX deployment

    Python 2

  2. magnetlabel magnetlabel Public

    Local image annotation for object detection and instance segmentation. Draw bounding boxes, use magnetic and assisted masks, and export reviewed YOLO or COCO datasets. No GPU required.

    JavaScript 2

  3. splitlens splitlens Public

    Private image dataset audits in your browser or Python: find duplicates, split leakage, corrupt images, and quality issues. Review findings and export verified dataset copies. Python library + CLI.…

    Python 1

  4. aircursor aircursor Public

    Privacy-first webcam hand tracking for touchless mouse control on Windows

    Python 2

  5. prooflane prooflane Public

    Private screenshot comparison with region review, exclusion masks, portable HTML evidence, and a matching Python CLI. No image uploads.

    TypeScript