Week 4: Responsible Use and Final Pipeline

Day 28: Final Project: SignLLM Pipeline Map

Create a complete learning artifact for the full pipeline.

Day 28 of 2818 minGoal - Learn - Example - Practice - Checkpoint

Goal

Create a complete learning artifact.

The final deliverable is a clear map from signer video to reviewed model output.
Your map should include capture, consent, frame extraction, pose/keypoints, gloss or labels, metadata, NPZ storage, curation, train/validation/test splits, training, evaluation, human review, privacy, and limitations.
A strong final map is honest. It shows where people make decisions and where the system can fail.

Final pipeline: consent -> capture checklist -> raw video archive -> trim clips -> extract frames -> run pose -> visualize pose -> annotate gloss -> create NPZ -> write metadata -> QA decision -> split dataset -> train baseline -> validate -> inspect outputs -> Deaf/fluent review -> publish limits.
Final note: This pipeline supports research and learning. It does not replace qualified interpreters or guarantee full ASL translation.

Build a one-page SignLLM pipeline plan for public learners.
Include one example metadata record, one QA checklist, one evaluation rubric, and one limitation statement.

Before moving on

You can teach someone else how SignLLM development works at a practical level.

The final map should make human language review visible, not hidden behind the model box.