needed to develop an AI-based CV platform that would help him match candidates
with companies based on NLP models, which would automatically analyze the
candidate's resume, extract contact details and skills.
To this end, our
-name, address, and addresses extractors based
on Stanford core NLP, NLTK tools; -skills parser based on a custom skill-set
model, that produced normalized-form skills and word2vec vectors to match
resumes on the proximity of skills, and match proposals from companies with
candidate CVs based on skills; -high-load service to manage relearning and
work of ML model, including parallelism, caching, Graylog server to monitor
By automating the
analysis of candidates' resumes, the AI-powered CV Jobs Platform streamlined
the recruitment workflow, saving valuable time and resources. The advanced
skill matching and company proposal features ensured that candidates optimally
corresponded with companies, leading to better job placements.
solution, the client gained a competitive edge in the job market, successfully
connecting candidates and companies in a meaningful and impactful way.