20260528-skn-family-ai-33/skn33-final-2team

How 20260528-skn-family-ai-33/skn33-final-2team works

GrowPath is an AI-assisted workplace learning service. An employee turns a work goal into selected skills, completes a pre-assessment, compares Free/Crash/Challenge plans and learning materials, confirms a roadmap, records progress, and reviews a post-assessment report. Managers can view confirmed team plans and comment; administrators manage people and learning data. The map follows README-documented product stages and capabilities; finer wiring for unsampled routers and services is represented at subsystem level rather than inferred from filenames.

Main entry points: main.py FastAPI entry · preassessment.py Pre/post assessment · routes.tsx React application · deployment.py PostgreSQL and pgvector

Components 21

User experience

React application frontend/src/app/routes.tsx
FastAPI entry backend/app/main.py
Account and profile backend/app/routers/account.py

Learning workflow

Goal and skill draft frontend/src/features/draft/DraftScreen.tsx
Pre/post assessment backend/app/routers/preassessment.py
Plan generation backend/app/agents/roadmap.py
Course catalog backend/app/catalog.py
Resource recommendations backend/app/agents/resource_recommendations.py
Confirmed plans backend/app/services/plans.py
Learning activity backend/app/routers/work.py
Reports and tasks backend/app/services/report_tasks.py

AI and search

Workplace assistant backend/app/regstore.py
Embedding service backend/app/regulation_embeddings.py
Generation models backend/app/llm.py

Team and administration

Team views and feedback backend/app/routers/team.py
Admin data management backend/app/routers/admin.py

Data foundation

PostgreSQL and pgvector database/src/database/deployment.py
Catalog and data ingestion database/src/database/ingestion/real_data_ingestor.py

Other components

Employee
Department manager
System administrator

Connections 28

Employee → React application: uses README.md
Department manager → React application: uses README.md
System administrator → React application: uses README.md
React application → FastAPI entry: requests README.md
FastAPI entry → Account and profile: routes backend/app/main.py
FastAPI entry → Pre/post assessment: routes backend/app/main.py
FastAPI entry → Team views and feedback: routes backend/app/main.py
FastAPI entry → Admin data management: routes backend/app/main.py
Employee → Goal and skill draft: sets goal README.md
Goal and skill draft → Pre/post assessment: submits skills README.md
Pre/post assessment → Plan generation: informs plans README.md
Plan generation → Course catalog: uses candidates README.md
Resource recommendations → Course catalog: searches resources backend/app/agents/resource_recommendations.py
Plan generation → Resource recommendations: recommends materials README.md
Employee → Confirmed plans: confirms selection README.md
Confirmed plans → Learning activity: starts learning README.md
Learning activity → Reports and tasks: records progress README.md
Pre/post assessment → Reports and tasks: supports review README.md
Employee → Workplace assistant: asks questions README.md
Workplace assistant → Embedding service: embeds queries backend/app/regulation_embeddings.py
Workplace assistant → Generation models: generates answers README.md
Department manager → Team views and feedback: views and comments README.md
System administrator → Admin data management: manages data README.md
Account and profile → PostgreSQL and pgvector: reads and writes backend/app/routers/account.py
Reports and tasks → PostgreSQL and pgvector: stores submissions backend/app/services/report_tasks.py
Resource recommendations → PostgreSQL and pgvector: searches vectors
Embedding service → Generation models: requests embeddings backend/app/regulation_embeddings.py
Catalog and data ingestion → PostgreSQL and pgvector: loads catalog data database/src/database/ingestion/real_data_ingestor.py

Drawn by GitDiagram on November 10, 2026 from the repository's file tree, README and source files. Read as Markdown ·