Welcome to the AI Job Market Intelligence Dashboard repository! This project transforms complex, multidimensional labor market dynamics into accessible, narrative-driven visualizations that serve diverse stakeholders—from individual career transitioners to organizational strategists.
This intelligence platform is structured across 7 key architectural domains:
| Section | Description | Link |
|---|---|---|
| 1. Executive Summary & Vision | High-level project objectives, target audience use cases, and tool selection rationale. | 01_Executive_Summary.md |
| 2. Synthetic Dataset Architecture | In-depth breakdown of the proprietary probabilistic baseline, encompassing base salaries, industry verticals, and role matrices. | 02_Synthetic_Dataset_Architecture.md |
| 3. Dashboard Design & UX | The 4-act narrative structure of the interactive visualization, including global heat maps, role evolution timelines, and predictive skill forecasts. | 03_Dashboard_Design_and_UX.md |
| 4. Domain-Specific Insights | Breakdowns of core ML engineering tracks, the rapidly proliferating GenAI specialization space, and the emerging Agentic AI frontier. | 04_Domain_Specific_Insights.md |
| 5. Future-of-Work Intelligence | Supply/demand dynamics including geographic arbitrage patterns, tech talent pipelines, and automation displacement projections. | 05_Future_of_Work_Intelligence.md |
| 6. Technical Implementation | The structural composition of this repository, our CI/CD refresh pipelines, and both Python/Plotly and Tableau deployment strategies. | 06_Technical_Implementation.md |
| 7. Insights & Recommendations | Operational strategy frameworks such as transition viability scoring, organizational location strategy, and education modernization imperatives. | 07_Insights_and_Recommendations.md |
An interactive dashboard generated via Python and Plotly is available as a standalone HTML file in the dashboard/static_exports/ directory. This provides an exploratory view into role distributions, compensations, and timelines without requiring complex server infrastructure.
For data generation and chart reproduction, please see:
src/data_generation/generate.py
We encourage open discussion and PRs to expand the intelligence matrix! Please adhere to the structured methodology provided in the synthetic data architecture docs for any additions to the generative parameters.
 Milan Amrut Joshi Project Author |
 D3.js Data-Driven Documents visualization |
 Observable Interactive data exploration |