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Sleeping
| # 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 | |