31. 🗣️ Job Post Clarity Checker

Overview

An NLP service that evaluates job postings for clarity, readability, and inclusivity, then offers targeted rewrite suggestions to help recruiters craft more effective, unbiased ads.

Primary Use Cases

• Recruiters refining job ads to attract a broader talent pool
• HR teams ensuring compliance with inclusive-language best practices
• Hiring managers improving candidate response rates through clearer messaging

Key Features

• Readability scoring (Flesch–Kincaid, Gunning Fog, etc.)
• Bias detection flags (gendered terms, age cues, jargon)
• Keyword optimization suggests role-specific skills or buzzwords to include
• Auto-rewrite suggestions for unclear or biased sentences
• Inline highlights showing exactly where to improve

Tech Stack

• Frontend: React + TypeScript + Tailwind for the text-editor UI and feedback overlays
• Backend: FastAPI (Python)
• AI Models:
  • Bias detection: custom regex + a small fine-tuned “bias-BERT” model (e.g. using a gender-bias dataset)
  • Rewrite engine: google/flan-t5-base via Hugging Face to generate clearer alternatives
• Database: Optional PostgreSQL for usage analytics and storing past analyses

Architecture