File size: 2,335 Bytes
00b7145 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 | # Pitch Deck Outline
Use this as the slide plan for the required presentation deck.
## Slide 1 - Title
ElevenClip.AI
AI clip studio for turning long-form videos into personalized short-form clips.
Include:
- AMD Developer Hackathon
- Track 3 - Vision & Multimodal AI
- GitHub URL
- Hugging Face Space URL
## Slide 2 - Problem
Long-form creators need short-form distribution, but editing clips manually is slow.
Key points:
- Two-hour videos can take hours to review.
- Good clips depend on audience, niche, tone, and platform.
- Subtitles and vertical export add repetitive work.
## Slide 3 - Solution
ElevenClip.AI automates the first editing pass.
Workflow:
Video input -> Whisper transcript -> Qwen highlight scoring -> ffmpeg clip rendering -> human review/editor -> downloads
## Slide 4 - Product Demo
Show screenshots or short GIFs of:
- Channel profile
- Pipeline progress
- Transcript/highlights
- Clip editor
- Approved/downloaded clips
## Slide 5 - AI Architecture
Model roles:
- Whisper Large V3: multilingual transcription, including Thai.
- Qwen2.5-7B-Instruct: profile-aware highlight detection.
- Qwen2-VL-7B-Instruct: visual reactions, scene changes, and on-screen text.
- ffmpeg: subtitle burn-in and platform export.
## Slide 6 - AMD + ROCm
Why AMD matters:
- Long videos need high-throughput inference.
- MI300X memory helps with large models and long transcripts.
- ROCm + PyTorch enables Whisper inference.
- vLLM ROCm enables faster Qwen serving.
## Slide 7 - Benchmark
Replace placeholders after cloud credits arrive.
| Run | Hardware | Total Time | Clips |
| --- | --- | ---: | ---: |
| CPU baseline | CPU | TBD | 10 |
| AMD GPU | MI300X + ROCm | TBD | 10 |
Goal: 2-hour video -> 10 subtitled clips in under 10 minutes on MI300X.
## Slide 8 - Business Value
Target users:
- YouTubers
- Podcasters
- Educators
- Streamers
- Agencies
- Brand marketing teams
Value:
- Save editing time.
- Increase short-form output.
- Keep creator control.
- Support multilingual creators.
## Slide 9 - What We Built
Current MVP:
- FastAPI backend
- React editor
- YouTube/upload input
- Demo pipeline
- Clip rendering and subtitles
- Hugging Face Space
- AMD deployment plan
Next:
- Real Whisper + Qwen on MI300X
- Qwen2-VL frame analysis
- Benchmark table
- Better subtitle styling presets
|