Libraries tagged by geld
pressbooks/pressbooks-donham
463 Downloads
This theme is named after Wallace Donham, Dean of Harvard Business School from 1919 to 1942. The Donham theme is a light, modern theme, equally effective for non-fiction and fiction. Body font is Tinos, and Header font is Galdeano. An earlier version of this theme was commissioned by Harvard Business Review Press.
mrellerm/jwt-refresh-token-bundle
3010 Downloads
Forked bundle gesdinet/jwt-refresh-token-bundle with added fingerprint to token refresh system. Implements a refresh token system over Json Web Tokens in Symfony
mmarigny/name-generator
3513 Downloads
create names based on lists of firstname and lastname categorized by country and gender
libriciel/phpgedooo_client
617 Downloads
Client php pour l'utilisation du serveur gedooo
inda-hr/php_sdk
425 Downloads
# 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.
dulabs/laravel-graylog2
16967 Downloads
A Laravel 5 package that implements the Graylog2 gelf-php lib.
antoinemineau/tree-bundle
7507 Downloads
This Symfony bundle integrates jsTree and Gedmo Nested Set directly to Sonata Admin
sandstorm/gedmotranslatableconnector
14894 Downloads
Connector to make Gedmo Translatable work with Neos Flow
pixelpeter/laravel-genderize-api-client
31 Downloads
Laravel 8+ client for the genderize.io API
php-extended/php-administrative-gender-object
5832 Downloads
A library that implements the php-administrative-gender-interface library
php-extended/php-administrative-gender-interface
7168 Downloads
A library to specify how genders should be handled
orkhanahmadov/goldenpay
493 Downloads
GoldenPay payment library for PHP and Laravel framework
nguyenanhung/utils-gold-price
4323 Downloads
Utils API: Get Gold Price
metamodels/attribute_geodistance
1206 Downloads
MetaModels attribute for geo distance values
laravel-nova-fields/gender
5277 Downloads
A Laravel Nova gender field.