Project Phoenix Domain

AI_WQ Variations

Progressive Tool Sets

Progressive Capabilities

AI_WQ provides 3 variations with progressively expanding tool sets, from basic classification to full generative model exploration.

6

V1: Foundation

Proj 1-2 + Utilities

10

V2: Detection

+ Proj 3-4 (YOLO, Face)

18

V3: Full

+ Proj 5-6 + Cross-Project

Variation 1: Foundation (6 tools)

Projects 1-2 (Classification & Transfer Learning) + Utility tools.

Tool Category Description
load_proj1_info Project 1 Get Image Classification project info
list_proj1_notebooks Project 1 List classification notebooks
load_proj2_info Project 2 Get Transfer Learning project info
list_proj2_models Project 2 List pretrained models
show_capabilities Utility Show all available tools
get_project_info Utility Get project metadata

Focus: Basic image classification and transfer learning exploration.

Variation 2: Detection & Recognition (+4 = 10 tools)

Adds Projects 3-4 (Object Detection & Face Recognition).

Tool Category Description
load_proj3_info Project 3 Get Object Detection project info
list_proj3_notebooks Project 3 List YOLO notebooks
load_proj4_info Project 4 Get Face Recognition project info
list_proj4_modules Project 4 List face recognition modules

Focus: Object detection with YOLO and face recognition with MTCNN/FaceNet.

Variation 3: Full (+8 = 18 tools)

Adds Projects 5-6 (Generative Models) + Cross-Project tools.

Tool Category Description
load_proj5_info Project 5 Get GANs project info
list_proj5_models Project 5 List GAN models
load_proj6_info Project 6 Get Diffusion Models project info
list_proj6_notebooks Project 6 List diffusion notebooks
compare_projects Cross-Project Compare two AI projects
find_similar_projects Cross-Project Find by technique or data type
list_all_models Cross-Project List all available models
suggest_technique Cross-Project Get technique recommendations

Focus: Complete computer vision exploration including generative models and cross-project analysis.

Variation Summary

Variation Tools Projects Key Capabilities
V1 6 1-2 Classification, Transfer Learning
V2 10 1-4 + Object Detection, Face Recognition
V3 18 1-6 + GANs, Diffusion, Cross-Project Analysis

Running Variations

# Run with specific variation python scripts/validate.py --variation v1 # Foundation (6 tools) python scripts/validate.py --variation v2 # Detection (10 tools) python scripts/validate.py --variation v3 # Full (18 tools) # Pilot run (first 3 tasks) python scripts/validate.py --pilot # Single task python scripts/validate.py --task-id task_001