docs/USER_TODO.md

SignBridge — what only Lucas can do

Status (2026-05-10): submission deadline 03:00 MYT — ~5 hours left. All written content + the .pptx deck are produced. Two things still need a human.

1 — Record the 2-min demo video

Follow docs/demo-video-script.md. Tools: QuickTime Player (Mac) for screen + camera capture, iMovie or CapCut for editing.

Minimum viable shot list (if pressed for time, do only these):

1. Hook (10 s): plain text card: "70 million deaf people. Interpreters cost $50–200/hr. They're scarce."
2. Snapshot demo (30 s): screen recording of huggingface.co/spaces/lablab-ai-amd-developer-hackathon/signbridge. Sign L-U-C-A-S letter-by-letter (📷 button per letter) → click 🔊 Speak → app says "Lucas."
3. Record-sign demo (30 s): switch to Record sign tab → record HELLO for ~1.5 s → click Submit → app says "hello (85%)" → click Speak → audio plays.
4. Architecture flash (20 s): show one slide from assets/pitch-deck.pptx — slide 4 (Architecture). Voiceover: "Fine-tuned Qwen3-VL-8B handles motion ASL natively via vLLM video_url, Qwen3-8B composes English, gTTS speaks. All on a single AMD Instinct MI300X."
5. Close (10 s): GitHub URL + HF Space URL + "🤟 SignBridge — MIT licensed."

Hard rules:

• Mention "AMD MI300X" by name ≥3 times in voice-over.
• Mention "Qwen3-VL" by name ≥2 times (Qwen Special Reward eligibility).
• Burn in subtitles for accessibility.
• Length: 2:00–2:30 max. Lablab cuts long videos.

After recording: upload to YouTube as Unlisted, copy the URL, paste into the lablab.ai form's "Video Presentation" field.

2 — Submit the lablab.ai form

Open https://lablab.ai/ai-hackathons/amd-developer → scroll to bottom → click Submit Project.

Use docs/SUBMIT_NOW.md for paste-ready content. Each block in that file maps 1:1 to a form field. The most important fields:

Form field	Where to copy from
Project Title	SUBMIT_NOW.md first code block
Short Description	second code block (132 chars)
Long Description	third code block (~350 words, already updated with current pipeline)
Tags	tag list (Qwen, AMD Developer Cloud, AMD ROCm, HuggingFace Spaces, Vision, Multimodal, Accessibility, Open Source, Gradio, FastAPI, vLLM)
Cover Image	upload assets/cover.png (1280×640 PNG)
Video Presentation	YouTube unlisted URL from step 1 above
Slide Presentation	upload assets/pitch-deck.pptx (38.5 KB, 8 slides — already generated)
Public GitHub Repository	https://github.com/seekerPrice/signbridge
Demo Application Platform	Hugging Face Space
Application URL	https://huggingface.co/spaces/lablab-ai-amd-developer-hackathon/signbridge
Track	Track 3 — Vision & Multimodal AI

Pre-submit sanity check (do these 5 in incognito Chrome):

• HF Space URL loads — Snapshot tab visible, camera placeholder visible.
• GitHub repo URL loads — README + LICENSE visible, license is MIT.
• HF Space Settings → Variables and secrets has SIGNBRIDGE_VLM_MODEL=signbridge-qwen3vl-8b-asl set (otherwise Record-sign returns 404).
• Video URL (YouTube) is publicly accessible — open in incognito to confirm.
• assets/pitch-deck.pptx opens in Google Slides / Keynote / PowerPoint without errors.

When all 5 ticked → Submit form → wait for confirmation email → done.

Aim to submit by 02:00 MYT (1-hour buffer before 03:00 cutoff).

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Done by Claude (you don't need to touch)

• All docs/ content updated to reflect current shipping pipeline (Qwen3-VL native video, gTTS, Qwen3-8B composer).
• signbridge/space.py Record-sign tab description updated (no more "samples 4 frames").
• assets/pitch-deck.pptx generated from docs/pitch-deck.md (8 slides, 16:9, 38.5 KB).
• assets/cover.png is the existing 1280×640 indigo→pink gradient (verified, no regenerate needed).
• signbridge/scripts/build_pitch_deck.py script for re-generating the deck if you want edits.
• All commits pushed to HF Space + GitHub mirror.