Normally, when a candidate applies to a specific job, the applicant either gets accepted or rejected for one specific job opening, and has to reapply for other -potentially more fitting- positions. With Candidate Prioritization engine, the company can gather all candidates’ information in a data bank, can provide recommendations for other job opportunities based on their qualifications and job requirements using NLP.
Candidate Prioritization engine uses NLP to prioritize candidates based on two approaches with a flexible pool of candidates:
1. Skill-Based Recruiting: only candidates with the required years of experience (or higher) will be evaluated for a position.
2. Flexible Weights: based on requirements, recruiters can tune the weights of specific attributes, and the engine will find the best match.
This engine allows more people to have chances in getting jobs, and also helps companies recruit the right candidates easily.

https://www.stc.com.sa/wps/wcm/connect/english/individual/individual

• International

Through this project we are addressing unemployment by increasing probability of matching job requirements for society’s members