Fair360 Pulse (Pulse360)
Generates AI articles on workplace fairness across 5 topic clusters, tuned by reader ratings over time.

How it works.
A user logs into a Firebase-authenticated web app and browses a grid of AI-generated 'Pulse' articles covering workplace-fairness topics (Leadership, Mentoring, Sponsorship, HiPO, ERGs). They can filter/sort/search the grid, click 'Generate' to trigger a new article on demand, and rate articles; those ratings feed a feedback-adjustment loop that tunes future prompts per cluster. Admins can configure recurring generation schedules and RSS/Atom feed sources, view a cluster-performance analytics dashboard, and optionally export an article as a Gamma presentation report.
- 01On-demand AI article generation with async job polling
- 025-cluster workplace-fairness taxonomy with per-cluster scoring
- 03User star-ratings that feed an automated feedback-analysis/prompt-adjustment loop
- 04Scheduled + news-feed-triggered recurring generation via Celery worker/beat
How to use Fair360 Pulse (Pulse360).


Where it stands.
Next phases
Built with.
Next.js (App Router) + TailwindFastAPI + SQLAlchemy + AlembicPostgreSQL + Redis + CeleryFirebase AuthOpenAI SDKWant Fair360 Pulse (Pulse360) working for you?
Generates AI articles on workplace fairness across 5 topic clusters, tuned by reader ratings over time.
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