An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

This is a automatic resume screening system using deep learning models and NLP techniques

Aplikasi screening resume dengan menghitung skor pada setiap bidang informatika berdasarkan skill atau kemampuan yang terpindai pada resume. Dibagun menggunakan bahasa pemrograman Python dengan framework web application Flask.

About AI Resume Screening is a tool that uses artificial intelligence to automate the process of resume screening and shortlisting. The tool uses natural language processing and machine learning algorithms to analyze resumes and classify them to the job roles based on the words in their resume.

AI Resume Screening is a tool that uses artificial intelligence to automate the process of resume screening and shortlisting. The tool uses natural language processing and machine learning algorithms to analyze resumes and classify them to the job roles based on the words in their resume.

The Advanced Resume Screening App is a powerful tool designed to optimize the hiring process by employing Natural Language Processing (NLP) and Machine Learning (ML).

To review resumes to identify candidates who possess the skills and experience required for a particular position using Machine Learning with NLP

The open source version of the resume screening APIs

ResuMate: AI-powered resume screening app using Streamlit, OpenAI, and LlamaIndex. Automate candidate evaluation and boost hiring efficiency.

Simple resume classifier that helps categorize resumes into predefined job categories

This UiPath project developed during the STGI Hackathon, automates resume screening for HR teams. It extracts emails with a specified subject, saves PDF resumes, uses Tesseract OCR for data extraction. The extracted data is used to fill a form and at EOD, an audit report with insights and a CSV of responses is generated and sent to a specfied mail.

Practise project on MVC Core, with Resume Analysis or Resume Screening

The goal of this project is to develop a system that can analyze resumes, classify them into specific domains, and recommend additional skills to enhance the candidate's profile. The system will leverage logistic regression for classification tasks.

This UiPath project developed during the STGI Hackathon, automates resume screening for HR teams. It extracts emails with a specified subject, saves PDF resumes, uses Tesseract OCR for data extraction. The extracted data is used to fill a form and at EOD, an audit report with insights and a CSV of responses is generated and sent to a specfied mail.

Custom Resume Screening / Skill extractor - NER Model - Custom labelled, Trained and Saved NER Model