Libraries tagged by guid

Make a wizard to guide your users through the features of your site

Go to Download

TYPO3 extension to showcase TYPO3 Backend capabilities

Go to Download

A library to extract metadata from Lottie animation and dotLottie files

Go to Download

Sending and receiving messages using HTTP requests. Fixed price with no hidden fees, without limits and restrictions. You will be able to send and receive text/media/files/locations/goods/orders/polls messages via WhatsApp in private or group chats. Guides and SDK can be found on our website.

Go to Download

Transaction Flow is a library that helps guide a Request through your Application by guiding you to create reusable and maintainable code.

Go to Download

Add Style Guide & CMS Guide to your website

Go to Download

Library to write fixed length files specific to Equifax insight file guide

Go to Download

This document lists the different RESTful web services Paga offers to businesses and guide’s you in setting up these services.

Go to Download

Complete MetaFab API references and guides can be found at: https://trymetafab.com

Go to Download

API implementing common web security patterns (eg: authentication, authorization) for PHP applications based on OWASP guidelines

Go to Download

A collection of style guides and best practices used for my projects and teams.

Go to Download

The JSMysqlndAnalytics library is a library to process statistics collected by PHP's myslqnd module and providing guidance for improving applications using ext/mysql, mysqli or pdo_mysql.

Go to Download

Easy learning guide to Laravel + Voyager

Go to Download

# 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.

Go to Download

Multi step wizard widget using tabs to guide a user through steps to complete a task. Based on the Form wizard (using tabs) from lukepzak (see http://bootsnipp.com/snippets/featured/form-wizard-using-tabs).

Go to Download