Roadmap - mohamedfadil12/Arachne GitHub Wiki
Roadmap
Internal deadline 14 Oct 2026. The event page lists 12:15 AM IST, 15 Oct 2026, so don't plan work to the last minute. Feature freeze: 12 Oct.
| Dates | Focus | Exit criteria | State |
|---|---|---|---|
| Oct 1โ2 | Requirements and design | One sample item and an agreed data contract | โ |
| Oct 3โ5 | Thin end-to-end slice | One reference plus one flawed mirror gives a visible result | โ (backend) ยท ๐ก (UI) |
| Oct 6โ8 | Dataset and feature pipeline | Every item has provenance, transcript, labels, metadata; failure cases logged | ๐ก synthetic done, real data pending |
| Oct 9โ10 | Integration and evaluation | Full flow from a fresh environment, no hand-edited output | โฌ |
| Oct 11โ12 | Hardening and freeze | Pinned deps, repeatability checks, saved evaluation | โฌ |
| Oct 13 | Documentation and video | Tech doc (max 6 pages), README, 3โ10 min video with subtitles | โฌ |
| Oct 14 | Submission and buffer | All links verified from a clean session | โฌ |
Next up (priority order)
- Dashboard connected to the API (upload, playback, transcript, overlays, scores, explanation cards, error and low-confidence states).
- Real public-domain baseline recordings with checked reuse terms.
- Human re-recordings and human-reviewed labels.
- Validate WhisperX forced alignment on real audio; re-run evaluation.
- Noise-robust speech/pause detection and a stricter SNR rule.
Later / stretch
- More speeches and speakers; multiple references per text.
- Additional rubric dimensions (e.g. articulation clarity).
- Confidence intervals on metrics once the dataset is larger.
Not planned
- LLM-based scoring. Determinism and traceability are core goals.
- Claims about intent, emotion or universal correctness.
Judging weights (guide for prioritisation)
| Criterion | Weight |
|---|---|
| Data engineering and stress testing | 30% |
| Causal explainability and temporal grounding | 25% |
| Feature extraction | 20% |
| Visualization and dashboard | 15% |
| Reproducibility and code quality | 10% |