Initial project scaffold - Phase 1 MVP structure

Core modules:
- cli.py: Command-line interface with Click
- pipeline.py: Main orchestrator
- video_processor.py: Frame extraction with ffmpeg
- audio_analyzer.py: Whisper transcription
- vision_analyzer.py: Component detection (placeholder)
- doc_generator.py: Markdown + PDF output

Also includes:
- pyproject.toml with uv/hatch config
- Prompts for AI analysis
- Basic tests
- ROADMAP.md with 4-week plan

prompts/component_analysis.txt

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+You are analyzing a CAD model video walkthrough. Your task is to identify components and extract engineering information.
+
+## Context
+The engineer is walking through a CAD model, explaining the design. You will receive:
+1. A frame from the video showing the CAD model
+2. The transcript text around this timestamp
+3. Any previously identified components
+
+## Your Task
+Analyze the frame and identify:
+
+1. **Components visible** - What parts/assemblies can you see?
+2. **Features** - Holes, threads, fillets, chamfers, ribs, etc.
+3. **Materials** - Based on appearance or transcript mentions
+4. **Functions** - What does each component do? (from transcript)
+5. **Relationships** - How do components connect/interface?
+
+## Output Format
+Return a JSON object:
+```json
+{
+  "components": [
+    {
+      "name": "Component Name",
+      "confidence": 0.95,
+      "description": "Brief description",
+      "function": "What it does (from transcript)",
+      "material": "Material if mentioned or estimated",
+      "features": ["feature1", "feature2"],
+      "bounding_box": [x1, y1, x2, y2]  // optional
+    }
+  ],
+  "assembly_relationships": [
+    {"from": "Component A", "to": "Component B", "type": "bolted"}
+  ],
+  "transcript_matches": [
+    {"component": "Component Name", "excerpt": "relevant quote from transcript"}
+  ]
+}
+```
+
+## Guidelines
+- Be specific with component names (not just "part 1")
+- Note standard parts (fasteners, bearings) with specifications if visible
+- Extract material from transcript mentions ("aluminum", "steel", etc.)
+- Identify function from verbal explanations
+- Note manufacturing features (machined, cast, printed, etc.)