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Elevate HRTech: Revolutionizing Job Scraping with AI-Powered Solutions

At Elevate HRTech, we take pride in our ability to develop innovative solutions that drive success and efficiency for our clients. In this case study, we present a recent project where we leveraged our AI and machine learning expertise to improve a client's job scraping platform, increasing accuracy and data quality. This project demonstrates our commitment to providing HR Tech executives and leaders with cutting-edge solutions to overcome industry challenges.

Project Overview

Our client sought to enhance their existing AI-powered job scraper, which was designed to automatically detect company pages, career pages, and job links. Because of the non-traditional approach to using AI to see job links, the platform needed to scrap non-job pages correctly. They required a more accurate and efficient system to identify non-job pages and reliably filter out low-quality job listings.

Solution: Machine Learning and Custom Model Development

We employed advanced machine learning techniques to tackle this challenge using the HuggingFaces XLM-Roberta model. Our team successfully trained an MVP model to identify non-job pages with a 99% confidence rate, ensuring that irrelevant data was efficiently filtered.

Next, we built a custom model for the client's non-job detection needs. This tailored solution provided them with a powerful and efficient tool to improve the quality of their scraped job listings. Our team handed over the custom model to the client, enabling them to integrate it seamlessly into their existing platform.

Quality Control: Implementing Diverse Filters

In addition to developing the custom model, our team worked closely with the client to specify and implement a diverse set of filters. These filters were designed to identify and remove quality issues from the final scraped jobs, further enhancing the accuracy and reliability of the platform.

Outcome: A Powerful and Accurate Job Scraping Solution

As a result of our collaboration, our client now has an AI-powered job scraper that detects company pages, career pages, and job links with improved precision and filters out wrongly scraped jobs and low-quality listings. By leveraging our AI and machine learning expertise, we've provided HR Tech executives and leaders with a state-of-the-art solution that elevates their job-scraping capabilities and drives success in the competitive HR Tech landscape.

Elevate HRTech is proud of our achievements in this project and is confident that our innovative solutions will continue to propel the HR Tech industry forward. Discover how our expertise can transform your organization – contact us today.