Practical AI/ML/CS projects, tutorials, and guides for learners at all levels.
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Empowering innovation through knowledge sharing. We share hands-on projects and learning resources in AI, ML, and Computer Science—rooted in the Build → Measure → Learn loop.
Mohammed Shehada — Curriculum Specialist, UAE MoE. Led national AI/ML curriculum scaffolding since 2019; author of lab-driven content; M.Sc. on Speech Emotion Recognition; contributor to the UAE AI Literacy Programme (2025).
More: cs42.org/about
| Area | What you’ll find |
|---|---|
| Computer Vision | Image processing, detection, practical demos |
| Natural Language | NLP pipelines, LLM prompts & evaluation |
| Data Analysis | Visualization, metrics, evaluation workflows |
| Embedded Systems | HW/SW integration & edge AI experiments |
- Projects Gallery: cs42.org/projects
sight-assist— YOLO-based visual assistance toolkitser-lab— Speech Emotion Recognition experiments (mRMR+GWO)cs42-notebooks— Reproducible notebooks for CV/NLP/Dataedge-ml-kit— Embedded ML examples (Raspberry Pi / microcontrollers)
Python · PyTorch · Ultralytics/YOLO · scikit-learn · OpenCV · FastAPI · Jupyter · Pandas · Matplotlib · Arduino/RPi
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