**Product Creation:**
A smart job aggregator that gathers, refines, and shares job openings with recruitment agencies and job seekers. This tool uses AI to improve job descriptions, recognize skill needs, and filter jobs based on set criteria. Accumulated data is displayed on a bespoke dashboard, accessible via various channels.
**Workflow Steps:**
1. Use n8n to create a workflow that triggers the job collection process at specific times (daily at 6 AM UTC, for example).
2. Utilize Puppeteer nodes within n8n to gather job listings from numerous websites and job portals.
3. Tidy up and organize the gathered data with n8n function nodes, extracting vital pieces of information like job title, company, location, and description.
4. Temporarily store this data in a Google Sheets document for an initial review.
5. Implement an OpenAI API node to review and enhance job descriptions, to make them clear, inclusive, and neutral.
6. Use a Python script in an n8n command node to remove duplicates and categorize job openings based on relevance using tools like pandas and numpy.
7. Integrate HuggingFace to carry out sentiment analysis on the job descriptions ensuring they have a positive tone.
8. Work with Airtable via its API to store the finalized job listings in a well-organized database suited to various recruitment needs.
9. Arrange a common update using the OpenAI API to identify new skill trends, by scraping recent industry articles and research from platforms like NewsAPI.
10. Use Python scripts to match job openings with candidate profiles based on skills via natural language processing in the Airtable.
11. Set up updates: Slack API for delivering summaries of new listings to recruiters, and Twilio for sending SMS alerts to job seekers.
12. Develop weekly performance reports using a mix of Python scripts and Google Sheets API for data visualization.
13. Create weekly video summaries of top job openings using Synthesia for social media shares.
14. Share updates with followers on Twitter using Twitter API and upload videos to YouTube.
15. Set up an n8n webhook that lets recruitment agencies send feedback on the listings, which can be used to improve job aggregation.
16. Incorporate Stripe API to handle payments from recruitment agencies subscribing to the database.
17. Use OpenAI API to improve the job aggregation algorithm based on feedback from recruiters.
18. Host the system on a cloud provider like AWS or Google Cloud to ensure scalability.
19. Use GitHub to control versions of the codebase and collaborate on workflow enhancement.
20. Monitor the system’s performance and adjust configurations or increase resources as needed to handle escalating data volume and complexity.
**Outcome:**
An intuitive, AI-powered job aggregator that offers refined, updated job postings to recruitment agencies and job seekers, allowing quick and easy talent-to-job matches, saving money and time. The system provides easy access to analytics and reports for better strategy implementation.
