PoleGraph maps pole dance moves, prerequisites, entry and exit shapes, and difficulty into a graph. The goal is to help dancers plan a path from their current skills to a target move, then build combos that fit their level.

---

I.  How it works

1. 01 Skill Graph A move database with prerequisites, tags, and difficulty
2. 02 Learning Path Engine Routes from current skills to target moves
3. 03 Combo Generator AI-assisted routines based on user goals and constraints
4. 04 Transition Graph Real-world difficulty between linked moves
5. 05 Interactive Visualizer Browser-based 3D previews for moves and combos
6. 06 AI Coach Personalized recommendations, training guidance, and progression planning
7. 07 Video Analysis (future) Pose recognition and skill assessment from practice videos

II.  Roadmap

1. NowResearch and modeling
   • Move schema
   • Prerequisite graph
   • Entry and exit tagging
   • Combo rule design
2. NextInteractive layer
   • Interactive graph viewer
   • User skill profile
   • Difficulty-aware combo generation
3. LaterMultimodal extensions
   • 3D mannequin preview
   • Pose and video analysis

III.  Technical approach

• Knowledge graphs
• Recommendation systems
• Graph search
• AI-assisted decision support
• LLM applications
• Interactive data visualization
• Three.js / React Three Fiber