Using this as a backend for "One Video → Multiple Reels" App

[harshita713lab]

Hi HookGraph-Agent Team,

Your project is truly innovative! The supervisor-worker architecture with self-correction is exactly what I need.

My Use Case:

I want to build an app where:

1. User uploads ONE video (2-5 minutes)
2. AI analyzes the video and extracts 8-12 short Reels
3. Each Reel has different style, music, duration
4. User can preview and download all Reels
5. Just like Instagram's auto-clip feature but with AI intelligence

Examples of Reels from ONE Video:

• Reel 1: Best highlights (top 8 shots, 30 seconds)
• Reel 2: Romantic moments (5 shots, 20 seconds)
• Reel 3: Dance/fun moments (6 shots, 15 seconds)
• Reel 4: Cinematic version (slow-mo, transitions)
• Reel 5: Candid moments (natural shots, 25 seconds)
• Reel 6-12: More variations

Questions:

1. Architecture Deep-Dive

• How does your supervisor agent analyze video content?
• Can we train it to detect specific moments?
  • Wedding (ring exchange, dance, family)
  • Birthday (cake cutting, gifts, fun)
  • Travel (landscapes, adventure)
  • Events (specific activities)
• How many video processing agents can run in parallel?

2. AI Models Used

• What AI models are you using for:
  • Scene detection?
  • Emotion recognition?
  • Action detection?
  • Quality scoring?
• Can we replace with custom models?
• Offline support vs. API-based?

3. Self-Correction System

• How does the QC (Quality Check) work?
• What parameters define a "good" clip?
• Can we customize the quality criteria?
  • Face clarity score
  • Lighting score
  • Action score
  • Emotional score

4. Video Processing Pipeline

• How do you handle:
  • Shot detection (scene changes)?
  • Smart cropping for vertical format?
  • Audio processing?
  • Subtitle generation?
• What's the average processing time for 5-minute video?

5. Template Integration

• Can we integrate 500+ video templates?
• Each template would define:
  • Number of clips
  • Clip duration
  • Transitions
  • Music style
  • Text overlays
• How would AI select template based on video analysis?

6. Scaling & Performance

• Can this handle 1000+ daily users?
• What's the bottleneck? (CPU/GPU/Memory?)
• Queue management for multiple videos?
• Best deployment strategy? (Docker/Kubernetes?)

7. Additional Features

• Support for both photos AND videos?
• Auto-music based on content?
• Face tracking for stable cropping?
• Direct social media sharing?

8. Technical Requirements

• What's the minimum server spec?
• Storage requirements per user session?
• Any database needed?
• API endpoints structure?

My Plan:

• Backend: Python (integrating your architecture)
• Mobile App: React Native/Flutter
• Rendering: FFmpeg
• Music: Royalty-free library
• Hosting: AWS/Azure

Your insights will be invaluable!

Thanks,
Harshita Rathore