A box of core libraries for recommendation model development
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Updated
Oct 20, 2024 - Python
A box of core libraries for recommendation model development
Smart contract for Job marketplace based on solana network
An intelligent, open-source resume parser and candidate matching system.
Match resumes to job descriptions using Python and AI-powered resume matching API.
AI-augmented candidate-job matching system that goes beyond simple text comparison to address skill equivalence, experience depth, and potential fit using advanced algorithms and LLM integration.
Help voters connect with candidates based on policy, not party
ML-powered candidate-to-job matching tool — NLP embeddings and semantic similarity to rank applicants against job descriptions.
AI-powered job matching platform that manages candidate profiles, availability, and preferences to automate smart employer-worker matching.
AI resume screening system built with n8n — automatically matches candidates to job descriptions using LLM evaluation and updates application statuses in Google Sheets at scale.
A production-ready full-stack platform for semantic resume screening using Django, DRF, React, and AI embeddings. Features resume parsing, candidate-job matching, JWT authentication, role-based access, background scoring with Celery/Redis, analytics, and CSV export. Designed to automate hiring workflows with scalable ML-powered screening.
Open-source prompt cookbook for IT recruiting — by Fitlane AI (https://fitlaneai.com). Recipes for sourcing, CV parsing, JD writing, screening, match explanations, plus a multilingual one-prompt search library (EN / ES / DE / UK / RU).
An AI-powered applicant tracking system that streamlines HR workflows with intelligent candidate matching and automated screening
3-stage candidate search pipeline: Voyage-3 vector retrieval, hard-criteria filtering, and GPT-4o-mini reranking across 10 role configurations
AI-powered recruitment platform with resume parsing, ATS scoring, and intelligent candidate-job matching.
🗳️ Connect voters with candidates through engaging quizzes focused on policy, ensuring informed choices based on local issues and values.
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