A box of core libraries for recommendation model development
Smart contract for Job marketplace based on solana network
AI-powered resume intelligence and candidate matching platform for resume parsing, candidate normalization, ranking workflows, external submissions, MFA support, and recruitment automation.
Match resumes to job descriptions using Python and AI-powered resume matching API.
A campus recruitment platform designed to simplify and automate placement processes for colleges. It helps placement cells manage students, job opportunities, and recruitment workflows while intelligently matching candidates with suitable job roles based on their skills and profiles.
Open-source AI recruiting platform for resume screening, evidence-based candidate evaluation, interview planning, and AI interview orchestration.
A single-tenant hiring platform. One company posts roles, candidates apply and track their progress, hiring managers review applicants and move them through a pipeline.
A production-grade multi-agent AI recruitment platform. Automates resume parsing, candidate matching, AI-powered chat screening, and fraud detection using a coordinated network of 12+ specialized LLM agents, vector embeddings, and a Django/React stack.
Help voters connect with candidates based on policy, not party
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.
An end-to-end AI recruitment platform that automatically parses PDF resumes, extracts skills, and performs highly precise semantic candidate-job matching using FastAPI, Sentence Transformers, and FAISS vector search.
Deterministic ETL pipeline for candidate profile unification using structured and unstructured data with provenance tracking, confidence scoring, and an interactive Flask dashboard.
ML-powered candidate-to-job matching tool — NLP embeddings and semantic similarity to rank applicants against job descriptions.
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).
Intelligent Applicant Tracking System (ATS) candidate scanner utilizing NLP entity extraction, TF-IDF scoring, and LLM prompt evaluation.
Multi-source candidate data transformer with normalization, confidence scoring, provenance tracking, and configurable output projection.
End-to-end AI recruitment analytics platform with PostgreSQL, Python, Streamlit, Tableau, semantic matching, RAG, and local Llama 3.2.
AI-powered job matching platform that manages candidate profiles, availability, and preferences to automate smart employer-worker matching.
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