This site uses Lever's resume parsing API to parse resumes
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Updated
Nov 24, 2022 - JavaScript
This site uses Lever's resume parsing API to parse resumes
The official C# SDK for the Textkernel Tx v10 API. Includes a resume parser (CV parser), job parser, resume search engine, and resume matching engine.
The official Java SDK for the Textkernel Tx v10 API. Includes a resume parser (CV parser), job parser, resume search engine, and resume matching engine.
Backend flask server for the resume parser hosted on my website
The project focuses on extracting and structuring key details from resumes, such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management.
A simple tool to parse and extract data from a resume.
Resume Analyzer is a Flask and ML web application with Resume Analyze, Match, and Builder features. It scores and suggests resume improvements, matches resumes to job descriptions, and helps users create professional, structured resumes easily.
🎯 CareerPredict is your smart career assistant! Just upload your 📄 resume — it auto-fills forms, analyzes your ATS score 🤖, matches you with job descriptions 💼, and gives real-time placement insights 📊 — all in an interactive and engaging way! 🚀✨
CV parsing & search system
AI‑powered HRMS — Resume screening, candidate matching, L&D & conversational AI
AI-powered form autofill system that extracts structured data from resumes, documents, and text using Gemini.
🔒 Proprietary AI Recruitment Suite by Shakeel Qureshi | Automates: sourcing → engagement → screening → retention using LLM/NLP (spaCy, custom models) | TalentSync™, EngageIQ™, FitScore™, TalentRisk™ | Contact: shakeel.techrecruiter@gmail.com
AI-powered hiring platform for fair, efficient, and transparent recruitment using resume parsing, video integrity, and emotion analytics
An end-to-end NLP project that extracts skills from job descriptions, builds job–resume matching recommendations, and showcases deployment with FastAPI and AWS.
AI Hiring Tool using React, Flask, OpenAI, and Pinecone. Recruiters input a job description, and the app parses it, scores candidate resumes or LinkedIn profiles, and generates tailored interview questions—showcasing AI integration, product intuition, and modern recruiting automation.
Careers is a Laravel package designed for managing job postings and applicant tracking with an integrated ATS (Applicant Tracking System).
Minimal RAG + automation portfolio: CLI, Gradio demos, Docker, CI — no external APIs
AI HR Recruiter: CV scoring, interview questions, offer generation
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