How it works
JAME ( Job Assisted Matching Engine )
Overview
JAME streamlines hiring by using AI to match candidates with jobs intelligently. It extracts job details from documents, ranks applicants based on fit, and provides transparent, reasoned insights helping recruiters make faster and better decisions.
Business applications
Extracting info from PDFs or Docs using OCR is critical for any application that takes user input through files.
Transforming LLM text into machine-readable data can be used in any type of question bank. It automatically categorizes and tags data, allowing websites to grade and filter items with seamless UI integration.
High-level technical workflow
Automatically extracts structured job data from PDFs and other documents using AI, converting unstructured job descriptions into machine-usable formats.
2
Candidate application flow
Allows candidates to apply easily, capturing their profiles, resumes, and relevant information for evaluation.
Uses LLMs to evaluate candidates against job requirements, generating a dynamic leaderboard that ranks applicants based on relevance and fit.
4
Explainability & analysis
Provides detailed, reasoned analysis for each candidate, highlighting strengths, weaknesses, and alignment with the job.
