docs/v1-scope.md

Scope And Success Criteria

Current Supported Vocabulary

The current word-level target set remains intentionally small and demo-friendly:

• HELLO
• YES
• NO
• THANK_YOU
• PLEASE
• HELP
• STOP
• EAT
• DRINK
• WANT
• MORE
• FINISHED

Current Baseline Success Criteria

The current baseline is successful when:

• a teammate can clone the repo and install it locally
• run_demo produces at least one translated event and transcript entry
• train_model saves a baseline artifact from the sample dataset
• evaluate_model produces metrics without manual editing
• the output path stays resilient even if ElevenLabs, VLM access, or webcam access is unavailable

Next Scope: Sentence Mode

The next project target is not full open-ended ASL translation. It is controlled sentence-level interpretation over short gesture windows.

Sentence mode should support:

• short 2-5 second clips
• sampled keyframes from the clip
• a token trace from the existing word-level classifier
• VLM interpretation into one English sentence
• mock/offline fallback when the VLM is unavailable

Still Out Of Scope

• open-ended full ASL translation
• long continuous conversations
• production accessibility claims
• production deployment
• mandatory Firebase integration
• mandatory cloud TTS during local demos
• mandatory cloud VLM during local tests