Ensuring Accurate Job Relevance
Jobs often contain vague or inconsistent descriptions.
- Used AI-driven semantic matching for precision.
- Applied custom job title filters using Mistral logic.
- Verified top matches manually through score review.
This workflow automates job hunting by scraping LinkedIn daily with AI-generated alternate titles and multi-keyword searches, filters duplicates, and uses Mistral LLMs to score resume-to-job fit with evidence. It generates cover letters and practical resume edits (ADD/QUANTIFY), logs all outputs to Google Sheets for centralized tracking, prioritizes top matches, and sends a single daily digest listing the five best roles with clear next steps. for efficient action.

Platform / n8n
Project / AI Career Compass
Category / AI Agent
Design By / LeadsNite
Completed / Sep 2025

Built using modern, scalable technologies
Real startup problems:solved with design, code, and data.
Jobs often contain vague or inconsistent descriptions.
Multiple job sources can repeat the same postings.
Generic resumes reduce impact on job applications.
Manual tracking often becomes slow and disorganized.
Users can get overwhelmed by multiple notifications.



