Libraries tagged by recuitee

Mit dem Contao Recruitee Bundle der BROCKHAUS AG können Sie Bewerbungen über ein Formular an Recruitee senden.

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HR Manager - Two Faces - The new era of recruitment for SeAT. A public recruitment funnel for applicants and a director-side assessment console for tracking member health, classifying activity, and running purge workflows. Pure consumer of SeAT-synced data and Manager Core EventBus / PluginBridge - no ESI calls of its own.

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Job Queue Manager: high performance, high volume, persistent, fault tolerant. 100% PHP/MongoDB, 100% Awesome

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Unofficial Laravel package for Loxo API integration

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PHP tools to build robust long-running processes

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MongoDB-based locking system

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Clock and Date library created before PSR alternative existed

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Recruitment and hiring module for the Zerp ERP platform

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Job Queue Manager: high performance, high volume, persistent, fault tolerant. 100% PHP/MongoDB, 100% Awesome

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Parses LinkedIn PDF resumes from recruitment portal into a set of usable entities

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Library to parse, format and convert byte units

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Magento 2 Jobs Manager extension enables you to seamlessly integrate a comprehensive job board into your eCommerce store. This powerful extension allows you to efficiently manage the entire hiring process by creating and posting various types of job listings, categorized by type, location, and department. Enhance your website's functionality by allowing potential candidates to discover and apply for positions directly through your store, streamlining your talent acquisition process.With the Jobs Manager extension, you can:- Create and manage multiple job listings with detailed descriptions.- Categorize jobs by type (full-time, part-time, freelance), location, and department.- Allow candidates to apply directly through your website, simplifying the application process.- Easily update and maintain job listings to ensure current openings are accurately represented.- Enhance your eCommerce site by adding a dedicated job manager section, attracting high-quality talent.This extension is designed to provide a robust solution for businesses looking to expand their team and find the right talent using their eCommerce platform. By integrating a job board into your Magento 2 store, you can leverage your online presence to support your recruitment efforts effectively.This module is also fully compatible with the Hyvä theme, ensuring a seamless integration with the modern and fast frontend provided by Hyvä, enhancing the overall user experience and performance of your job board.

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The package contains migrations, routes, controllers for recruitment api.

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Polcode simple recruitment app

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