Abstract: The present exemplary embodiment discloses a method and system for utilizing machine learning and artificial intelligence to selecting an optimal conversion driver to convert a document into a printable form. The methods include receiving at least one user print request and at least one user submitted file associated with the user request, optimizing the conversion of a file by executing, by at least one computer processor, determining that format conversion is necessary for the file, identifying least one of a plurality of file conversion drivers as optimal for converting the file, causing the optimal file conversion driver to convert the file into a printer readable format, and printing the converted file. The conversion drivers may be selected from remote or local conversion engines. The machine learning employs artificial intelligence to select the optimal conversion path by analyzing the properties of the document submitted for conversion.

Abstract: A kiosk is disclosed. For example, the kiosk includes a graphical user interface (GUI), a payment processing module to receive payment, a processor, and a non-transitory computer-readable medium storing a plurality of instructions, which when executed by the processor, causes the processor to perform operations. The operations include receiving a plurality of job requests, providing a total cost of the plurality of job requests on the GUI, receiving confirmation of the total costs via the GUI, receiving a single payment for the plurality of job requests via the payment processing module, and executing the plurality of job requests.

Abstract: A kiosk is disclosed. For example, the kiosk includes a graphical user interface (GUI), a payment processing module to receive payment, a processor, and a non-transitory computer-readable medium storing a plurality of instructions, which when executed by the processor, causes the processor to perform operations. The operations include receiving a plurality of job requests, providing a total cost of the plurality of job requests on the GUI, receiving confirmation of the total costs via the GUI, receiving a single payment for the plurality of job requests via the payment processing module, and executing the plurality of job requests.

Abstract: A kiosk is disclosed. For example, the kiosk includes a graphical user interface (GUI), a payment processing module to receive payment, a processor, and a non-transitory computer-readable medium storing a plurality of instructions, which when executed by the processor, causes the processor to perform operations. The operations include receiving a plurality of job requests, providing a total cost of the plurality of job requests on the GUI, receiving confirmation of the total costs via the GUI, receiving a single payment for the plurality of job requests via the payment processing module, and executing the plurality of job requests.

Abstract: Systems and methods for customizing a kiosk device are disclosed. The methods may include, by a processor: providing a web-interface portal that enables a user to generate a customized application package for customization of a kiosk device that provides document processing services via a print device, receiving one or more custom files to be included in the customized application package from the user via the web-interface portal, and generating the customized application package. The customized application package includes the received one or more custom files stored in a format compatible with the kiosk device. The user does not have access to the format, and the customized application package when installed on the kiosk device will cause customization of the kiosk device in accordance with the one or more custom files.

Abstract: Systems and methods for customizing a kiosk device are disclosed. The methods may include, by a processor: providing a web-interface portal that enables a user to generate a customized application package for customization of a kiosk device that provides document processing services via a print device, receiving one or more custom files to be included in the customized application package from the user via the web-interface portal, and generating the customized application package. The customized application package includes the received one or more custom files stored in a format compatible with the kiosk device. The user does not have access to the format, and the customized application package when installed on the kiosk device will cause customization of the kiosk device in accordance with the one or more custom files.

Abstract: According to embodiments illustrated herein, a method and a system is provided for screening candidates for job opportunities. The method includes grouping the candidates into batches based on predetermined time duration, a count of the candidates, and a chronology of receiving job applications from the candidates. Each batch comprises a first set of candidates. Thereafter, a sliding window is moved over the batches, to encompass a set of batches at a first time instance. A second set of candidates is identified from the first set of candidates in a batch from the set of batches based on a score assigned to each of the first set of candidates during an interview. Further, a candidate is selected from the second set of candidates obtained from a first batch, encompassed by the sliding window at a second time instance before the first time instance.

Abstract: A print system includes a print device and a processor comprising programming instructions. The processor is configured to launch a first application that causes a display device to output a user interface via which a user may select a document to print via the print device. The user interface includes user interaction fields that, when actuated, will initiate actions that are unrelated to operation of the print device. The processor is further configured to launch a second application that causes the display device to generate and output a graphical overlay that is at least in part displayed over one or more of the user interaction fields to prevent the user from actuating the user interaction fields while presenting a user interaction field that permits the user to cause the print device to print a document.

Abstract: A print system includes a print device and a processor comprising programming instructions. The processor is configured to launch a first application that causes a display device to output a user interface via which a user may select a document to print via the print device. The user interface includes user interaction fields that, when actuated, will initiate actions that are unrelated to operation of the print device. The processor is further configured to launch a second application that causes the display device to generate and output a graphical overlay that is at least in part displayed over one or more of the user interaction fields to prevent the user from actuating the user interaction fields while presenting a user interaction field that permits the user to cause the print device to print a document.

Abstract: A print system includes a print device and a kiosk device. The kiosk device includes a display device, and a processor. The processor is configured to launch a first application that causes the display device to output a user interface to a remote service from which a user may obtain a document to print via the print device. The user interface includes user interaction fields that, when actuated, will initiate actions that are unrelated to operation of the print device. The processor is further configured to launch a second application that causes the display device to generate and output a graphical overlay that is at least in part displayed over one or more of the user interaction fields to prevent the user from actuating the user interaction fields while presenting a user interaction field that permits the user to cause the print device to print a document.

Abstract: The disclosed embodiments illustrate methods and systems for data processing to predict domain knowledge of a user for content recommendation. The method includes extracting a set of features from user data based on at least a domain-of-interest. The method further includes categorizing each feature in each set of the extracted set of features into one of a plurality of categories. The method further includes determining a domain literacy weight of the user for each category of the plurality of categories based on at least an average weight associated with each set of the extracted set of features in each category. The method further includes predicting the domain knowledge of the user based on at least the determined domain literacy weight associated with each category. The predicted domain knowledge is further utilized for the content recommendation to the user.

Abstract: According to embodiments illustrated herein there is provided a method for determining a psychological type of a user. The method includes determining a first score for the user based on a profile of the user on a social media platform. Further, a second score is determined for the user based on activities of the user on the social media platform. Thereafter, a third score is determined for the user based on context of conversations of the user on the social media platform, which is determined based on a part of speech of each word in the conversations using a context database. Each word is categorized based on at least the part of speech associated with the word. The third score is determined based on the categorization. The psychological type of the user is determined based on the first score, the second score, and the third score.

Abstract: According to embodiments illustrated herein, a method and a system is provided for screening candidates for job opportunities. The method includes grouping the candidates into batches based on predetermined time duration, a count of the candidates, and a chronology of receiving job applications from the candidates. Each batch comprises a first set of candidates. Thereafter, a sliding window is moved over the batches, to encompass a set of batches at a first time instance. A second set of candidates is identified from the first set of candidates in a batch from the set of batches based on a score assigned to each of the first set of candidates during an interview. Further, a candidate is selected from the second set of candidates obtained from a first batch, encompassed by the sliding window at a second time instance before the first time instance.

Abstract: According to embodiments illustrated herein there is provided a method for determining a psychological type of a user. The method includes determining a first score for the user based on a profile of the user on a social media platform. Further, a second score is determined for the user based on activities of the user on the social media platform. Thereafter, a third score is determined for the user based on context of conversations of the user on the social media platform, which is determined based on a part of speech of each word in the conversations using a context database. Each word is categorized based on at least the part of speech associated with the word. The third score is determined based on the categorization. The psychological type of the user is determined based on the first score, the second score, and the third score.