Abstract:
A method and/or system for dynamic generation of charts in a personalized video content is disclosed. A client device may receive user data, a video template and a metadata associated with the video template over a computer network. The dynamic generation of the personalized video is performed at the client device by transforming the user data to a graphical overlay elements using charting libraries by generating an enriched data object based on the user data and the metadata. The graphical overlay elements are overlaid dynamically on top of the video template while playing the video template at the client device.
Abstract:
The present invention provides a method and system for calculating an overall risk associated with a project. A set of activities of the project are extracted by an interface module, where the set of activities are assorted into a set of predetermined categories, each category comprising a plurality of phases of execution of the project. A risk value of the each activity can be retrieved from the database. Further, an associated risk value of the each activity can be aggregated by an aggregating module, for calculation of the overall risk.
Abstract:
A method and/or system for dynamic generation of personalized video content in a conversational interface is disclosed. A chat application at a client device receives input from user which is communicated to chatbot platform. The chatbot platform composes a response in a data package and communicates to the chat application. If the format of the data package is of the type ‘Personalized Smart Video’, then a personalized video generation engine may generate a personalized video using a video template by displaying the video template and dynamically overlaying transformed user data on top of dedicated placeholders in the video template, thereby enhancing the user experience by rendering messages in form of personalized video at the client device and eliminating the need of creating a separate video file for each target user.
Abstract:
Disclosed are a system, method and apparatus for dynamically generating a personalized video content at run time, through a browser embedded video player is disclosed. A video configuration metadata file and a template video comprising one or more replaceable placeholders are received at a client device. User data id extracted from at least one user data source. The user data is validated based on a set of personalization parameters extracted from the user data source. The extracted user data is appended in the video configuration metadata file to generate an updated video configuration metadata file. The updated video configuration metadata file is parsed to generate one or more of overlay elements. The one or more placeholders are populated with corresponding one or more overlay elements. The overlay element is automatically arranging over the template video based on a set of predetermined rules and the personalized video content is presented.
Abstract:
A method and/or system for dynamic generation of personalized video content in a conversational interface is disclosed. A chat application at a client device receives input from user which is communicated to chatbot platform. The chatbot platform composes a response in a data package and communicates to the chat application. If the format of the data package is of the type ‘Personalized Smart Video’, then a personalized video generation engine may generate a personalized video using a video template by displaying the video template and dynamically overlaying transformed user data on top of dedicated placeholders in the video template, thereby enhancing the user experience by rendering messages in form of personalized video at the client device and eliminating the need of creating a separate video file for each target user.
Abstract:
Disclosed are a system, method and apparatus for dynamically generating a personalized video content at run time, through a browser embedded video player is disclosed. A video configuration metadata file and a template video comprising one or more replaceable placeholders are received at a client device. User data id extracted from at least one user data source. The user data is validated based on a set of personalization parameters extracted from the user data source. The extracted user data is appended in the video configuration metadata file to generate an updated video configuration metadata file. The updated video configuration metadata file is parsed to generate one or more of overlay elements. The one or more placeholders are populated with corresponding one or more overlay elements. The overlay element is automatically arranging over the template video based on a set of predetermined rules and the personalized video content is presented.
Abstract:
A method and/or system for dynamic generation of charts in a personalized video content is disclosed. A client device may receive user data, a video template and a metadata associated with the video template over a computer network. The dynamic generation of the personalized video is performed at the client device by transforming the user data to a graphical overlay elements using charting libraries by generating an enriched data object based on the user data and the metadata. The graphical overlay elements are overlaid dynamically on top of the video template while playing the video template at the client device.