Apply LLMs for automated ranking Resume
-
Updated
Apr 21, 2025 - TypeScript
Apply LLMs for automated ranking Resume
Designed for recruiters, Our AI-powered platform can filter out top resumes of the stack
A simple Django-based resume ranker website where recruiters post their jobs and candidates applies for their desired vacancies. The system gets the document similarity between the job description and the candidate resumes, generates similarity scores using the KNN model, and rank or shortlist the candidate resumes.
Resume Ranker is the process of ranking a candidate for a given role based on his or her education, experience and other information obtained on his or her resume.
Automating resume ranking
This project is all about making your hiring process a breeze. We've harnessed the power of AI to automatically screen and rank resumes based on job descriptions. Say goodbye to endless hours of manual sorting and hello to efficient, effective hiring decisions.
AI-powered profile matching agent using structured Excel data and unstructured LinkedIn-style resumes. Combines dynamic prompting and hybrid filtering with Gemini LLM for expert recommendation. Built for the AI Agent Expert Matching Competition 2025.
Automated AI Powered Resume Ranking & Analysis Tool
An intelligent resume ranking system powered by GPT-4o.
Semantic API that ranks PDF resumes against job descriptions using Sentence Transformers. Includes secure API key auth, live dashboard, and try-it-now interface — inspired by Stripe/Paystack developer experience.
This project aims to analyze a resume against a job description and provide an overall matching score along with some recommendations and actionable insights to better tailor the resume to the job described and suggest skills and courses to bridge the skill gap.
Add a description, image, and links to the resume-ranking topic page so that developers can more easily learn about it.
To associate your repository with the resume-ranking topic, visit your repo's landing page and select "manage topics."