This is a project aiming to optimize the recruitment process. It integrates an advanced Applicant Tracking System with Google Gemini Pro, streamlining resume parsing, keyword matching, and candidate evaluation for an efficient end-to-end solution in talent acquisition.

This project is a Applicant Tracking System (ATS) - Job Portal that manages job postings, receives applications, and creates a hiring workflow for these applications. It is built using the MERN stack: MongoDB, Express, React, and Node.js.

Smart ATS evaluates resumes against job descriptions, providing match percentage, missing keywords, and improvement suggestions.

BIG PROJECT "This Resume Builder Web Application aims to help users create high-scoring, ATS-friendly resumes at no cost, with minimal time and effort, while offering more features and convenience than existing resume builders."

an external arduino dashboard project for ETS2 and ATS

Free & Open Source ATS HR Portal with simple user friendly interface. With built-in features like Email Notifcation, Google Meet Call Scheduling & Google Calendar Event using Python with the support of Gemini & ChatGPT

In this project, we build a complete end-to-end Applicant Tracking System (ATS) powered by the Google Gemini Pro Vision API. The system intelligently analyzes your resume, compares it with a given job description, and provides personalized improvement suggestions to help align your profile with the job requirements.

RSC (Web-App) allows the user to: track/modify resumes, track applications, modify block-text (for templates), parse job descriptions (hard/soft skills to include for ATS), and more. . . (Capstone Project)

A LLM based advanced ATS System. Built as an open project at ATG (Banao Technology)

This project is a powerful Applicant Tracking System (ATS) Resume and Job Description Analyzer built in Google Colab. It helps job seekers optimize their resumes by comparing them directly against a specific job description and providing an "ATS score" along with detailed feedback in PDF form.

This project is an Applicant Tracking System (ATS) that allows users to upload resumes in PDF format, analyze them using Google Generative AI, and compare them with job descriptions. The system provides insights and evaluations based on the uploaded resume's content, including a percentage match against the job description.

Template project for mixing Haskell and ATS

This project helps users build professional resumes with five customizable templates and a download option. It checks ATS scores and provides suggestions for improvement. Users can refine their resumes based on detailed feedback. The system filters and selects the top 5 resumes from multiple submissions.

This project is an **Application Tracking System (ATS) Resume Checker** built using **Python**, **Streamlit**, and **Google Generative AI**. It allows users to upload resumes in PDF format and compare them with job descriptions to receive AI-powered evaluations, such as professional feedback and a percentage match.

Documentation for the elvysh ATS library project

This project is a Resume Creator and ATS Checker application built using modern technologies including React, TypeScript, Quill (for rich text editing), Tailwind CSS (for styling), and ShadCN (for UI components).

S6 Mini Project - Resume Analyzer uses NLP and ML concepts to check if a resume will pass the ATS Software used by recruiting companies

This project is a web application that analyzes and scores resumes for compatibility with job descriptions using ATS (Applicant Tracking System) criteria. It provides actionable suggestions to help users improve their resumes and increase their chances of passing automated screening systems.

Simplified NLP Project to understand ATS systems

An Applicant Tracking System (ATS) is a vital tool for modern organizations to streamline the recruitment process by managing and tracking job applications efficiently. Built using the MERN stack (MongoDB, Express, React, Node.js), the ATS project leverages a powerful combination of technologies to deliver a seamless and scalable solution.

Repository for the 2023 COSC 470 project - Algorithmic Trading System Software

ATS Scanner for Resumes using Data Analytics in Jupyter Notebook to optimize resumes. Key features: resume parsing, keyword matching, scoring system, and data visualization. Technologies: Python, pandas, numpy, NLTK, Spacy, matplotlib, seaborn, regex, scikit-learn. Empowering job seekers with actionable insights.

ATS Sales Insights - A Data Analysis Project

I Develope this ATS RESUME GENERATOR project using Html,Css,Javascript.

A hobby project for building ATS-friendly resumes from JSON data

The Applicant Tracking System (ATS) Full Stack Project is a comprehensive solution designed to streamline and manage the hiring process for organizations. This project combines a robust backend, a dynamic frontend , and a well-structured database to offer a seamless experience for recruiters and applicants alike.

Welcome to the Resume Application Tracking System (ATS) project! 🎉 This project leverages the power of Google Gemini Pro API and Streamlit to create a user-friendly web application for managing and tracking job applications efficiently.

A web application that analyzes resumes against job descriptions to evaluate skill match, ATS compatibility, and overall job fit using AI/ML techniques. Built as a hands-on project to apply Generative AI and NLP concepts learned during AWS AI/ML training.

CMake Modules and Examples for building ATS projects

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