Abstract: A system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine to generate dialogues for historical figures is disclosed. Historical data associated with historical figures including dates, events, and achievements are collected. Profiles of historical figures involved in the dialogues including biographical information, known speeches, writings, and significant actions are gathered. A content generation module is used to identify the context of the dialogues and generate historical content to maintain historical accuracies by verifying dates, events, and historical figures' specific details. The generated historical content is analyzed with educational standard to identify modern figure for integration with historical content. A prompt is generated to guide and constrain the AI engine to generate dialogues for historical figures based on the historical content aligned to educational standards.

Abstract: A virtual character identification system for guiding an AI engine to identify a virtual character based on AI-generated dialogues and images on an online learning platform is disclosed. The virtual character identification method involves collecting input data from user profiles and data models. The collected data is analyzed to generate insights that are used for prompt creation. These prompts are then used to guide the AI engine to generate text dialogues, which include an introduction, hints, and learning content. The AI engine also converts these dialogues into speech and dynamically generates images of the virtual character, where the image is progressively revealed based on user interaction. Furthermore, interactive audio-visual feedback, including educational videos with the virtual character, is provided to enhance the learning experience, allowing real-time engagement between the user and the platform.

Abstract: A fill-in-the-blank generation system and method integrates programmatic control and a guided and constrained AI engine to generate a fill-in-the-blank (FITB) question aligned with the educational curriculum of the user. The study mode delivery system accesses the data from the educational standards database and historical database. The study mode delivery system receives a standard description and set of key terms from the data accessed from the databases. The analyzer integrated within the study mode delivery system analyzes the course, standard description, and key terms relevant to the educational curriculum and standards.

Abstract: A computer-implemented method (CIM), according to one embodiment, includes creating virtual private endpoints (VPEs) for service endpoints for virtual private clouds (VPCs) of a cloud network, and creating, for the VPCs, buckets having names that include VPC identifiers (IDs). In response to receiving, from a first of the VPCs, a first query for a first of the service endpoints, a name included within the first query is caused to be used for parsing for one of the buckets, where the parsing identifies a first of the buckets. The CIM further includes causing a VPC ID to be extracted from the first bucket, and using the extracted VPC ID as context for resolving the first query.

Abstract: The content generation system and content generation process utilizes a prompt to guide an Artificial Intelligence (AI) engine for dynamically generating educational content, for creating an educational matching game content. The method and system utilizes an educational curriculum database to receive input, including educational standards and course details. The input is used to retrieve information for a historical figure relevant to the educational standard from the curriculum database, which includes the historical figure's image and voice. Additionally, a AI engine generates facts for the educational standard associated with the educational matching game content to ensure the educational content is rich and comprehensive. The system generates video response to present the educational content using the historical figure, adding an engaging multimedia element to the learning experience.

Abstract: An educational fact generation system and method integrates programmatic control and a guided and constrained an Artificial Intelligence (AI) engine to generate educational facts aligned with user-specific educational standards on an online learning platform is disclosed. It involves accessing multiple databases to retrieve educational standards, curriculum data, virtual character details, and user engagement data. The collected data is analyzed to provide insights for creating a prompt structure, which is then used to generate prompts that guide the AI engine. These prompts guide and constrain the AI engine to generate educational facts that correspond to the educational standards and integrate these facts with the dialogue and persona of a virtual character. Using deep learning techniques, an educational video is created, featuring the virtual character presenting the educational facts.

Abstract: A system and method for guiding an artificial intelligence (AI) engine to generate an assessment of statement truthfulness receives input data from a main data model containing educational standards and course information, and a Truth or Lies (TOL) data model containing information about historical figures. Based on the user-provided course ID and standard ID, relevant data is selected and retrieved from the main data model and the TOL data model. A prompt generator creates prompts to guide an AI engine in generating educational statements, including both true and false statements. The system and method for guiding an AI engine to generate an assessment of statement truthfulness integrates image generation to produce visuals corresponding to the statements and employs video generation and voice synthesis models to create video responses featuring historical figures explaining the statements.

Abstract: A system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine generate background images aligned with educational content in an online learning platform is disclosed. The integrated programmatically controlled system and guided and constrained AI engine perform operations including collecting educational content such as questions, correct answers, educational standards, and curricula associated with a user's online learning session. The collected content is analyzed to integrate relevant information and construct a detailed narrative. This narrative is then used to generate and refine text prompts via natural language processing techniques, which guide the AI engine in producing realistic background images. These images are designed to be visually appealing, contextually relevant, and to enhance user engagement and learning experience.

Abstract: An animatable image generation system and method to guide the AI engine in generating a photorealistic image of the virtual character for animating the virtual character. The method starts with the selection of a virtual character based on the educational content provided to the user on the online learning platform. The data collector accesses the databases to collect information about the virtual character. Based on the selected virtual character, AI-driven prompts are generated to guide the AI engine to generate a photorealistic image of the virtual character.

Abstract: The system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine for generating profiles for AI teachers within an online learning platform is disclosed. The programmatic control retrieves information associated with historical figures from a data store and parses user interaction data on the online learning platform to identify the engagement of each user with each historical figure. A content generation module prepares content for the AI teachers and generates a prompt and transfers the prompt to an AI engine to guide and constrain the AI engine to generate AI teacher profiles corresponding to the historical figures to utilize within the online learning platform by using the generated content and user interaction data. The AI teacher profiles are utilized to create social media accounts for the AI teachers and allow the user to interact with the AI teacher profiles on social media platforms.

Abstract: The system and method for guiding an Artificial Intelligence (AI) engine to generate a set of key terms relevant to educational standards. The system and method involve receiving input data including educational standards and key term types from educational curriculum guidelines, configuring a quality bar comprising metrics such as standard relevance, category fit, curriculum alignment, and correctness, and generating a prompt to guide the AI engine for generating key terms. An algorithm is then applied involving iterative prompt refinement and selection of key terms based on the quality bar metrics. This includes generating initial key terms using the AI engine, evaluating the generated key terms against the quality bar metrics, and refining the prompts iteratively based on the evaluation to improve the relevance and accuracy of the key terms. Furthermore, the prompt is transferred to the AI engine to generate a final set of key terms aligned with the educational standards.

Abstract: A system and method for guiding and constraining an Artificial Intelligence (AI) engine to provide personalized educational support to a user on an online learning platform using a multi-assistant framework is disclosed. The system and method access curriculum database and grading rubrics. User interaction data including user responses and selected units or topics is received. A free-response questions (FRQs) are generated using algorithms. The user responses to the FRQs are graded by utilizing the grading rubrics and providing projected score using FRQ grader assistant. The FRQ grader provides feedback aligned with scoring guidelines based on grading rubrics, and delivers projected score. A prompt is generated and transferred to AI engine to generate an assessment corresponding to the user performance based on a grading result on the user responses to FRQs. The generated FRQs, graded user responses, assessment, and projected scores are provided to the user on the online learning platform.

Abstract: A system and method combine programmatic control and a guided and constrained Artificial Intelligence (AI) engine to generate personalized video responses for a user. Receiving user inputs to identify a historical figure and a question directed to the corresponding historical figure. Information about the historical figure, including image, voice identifier, and biographical profile, is retrieved. Under programmatic logic control, an AI engine analyzes a question and generates an excuse for any delay in responding, else generate a dialogue response. The dialogue response is integrated with relevant information to generate a response having an audio and visual component with the voice identifier and dialogue response, and the image of the selected historical figure. A prompt is generated to guide and constrain the AI engine to create a video response that integrating audio and visual components to simulate the historical figure delivering the dialogue response and providing to an online learning platform.

Abstract: A method for guiding an artificial intelligence (AI) engine to generate and deliver educational content through an AI-generated tutor on an online learning platform. The method involves collecting input data from multiple sources, including educational, historical, image, and voice databases. Based on this data, prompts are generated to direct the AI engine in producing curriculum-aligned scripts. A digital AI tutor is created using the collected data, including synthesizing a voice that mimics the tutor and generating a corresponding visual representation. The script, voice, and visual elements are integrated into an animated video of the AI tutor. The video is then delivered and displayed to users on the learning platform at a scheduled time to facilitate personalized, standards-based instruction.

Abstract: A method is provided for guiding an Artificial Intelligence (AI) engine to generate enriched educational content by contextualizing educational standards with additional information. The method includes accessing a curriculum database containing educational standards and defining multiple extended attribute types, each representing a category of contextual data relevant to the standards. Detailed extended attributes are associated with these types and linked to specific courses within the curriculum, enabling content generation that aligns with both the standards and their educational context. A prompt is generated to direct a Large Language Model (LLM) to map the extended attributes to the corresponding educational standards. This prompt is transferred to the AI engine, enabling it to recognize and apply the extended attribute types for generating contextually enriched educational content.

Abstract: A motorized mobility device provides a level of functionality required by users of devices that fall into the complex rehabilitation technology (CRT) category. The motorized mobility device is composed of four component parts that are easily completely detachable from one another. This allows the motorized mobility device to be disassembled so it can be easily transported, and for components of the device to be used independently from one another, in particularly to allow the user to safely and securely travel in an unmodified, widely available commercial vehicle using the LATCH restraint system.

Abstract: Systems and methods as disclosed herein are provided for generating a research study application. A request to generate a research study is received from a user. A plurality of task generation options are presented on a graphical user interface of an electronic device. The plurality of task generation options are selected from the group consisting of a consent survey, an eligibility survey, a medical history survey, and a medical tracking survey. Input regarding the plurality of task generation options is received from the user. Additionally, a research study application is generated based on information received from the user.

Abstract: A system and method for anchoring bollards and curbside features is disclosed. The ‘curb apparatus’ is comprised of a planar, horizontal plate and a vertical portion on a distal end with apertures to receive a plurality of fasteners. This L-shaped, curb apparatus is selectively affixed to street curbs. An object of the invention is to support curbside features such as lighting bollards, benches, and bike racks etc. For example, in one embodiment, the feet of a park bench are affixed to the horizontal plate of the curb apparatus and the vertical portion is bolted into the vertical wall of the curb and gutter in a street. Other embodiments incorporate gussets and stiffeners to prevent bending and shifting as well as other means of fastening such as cements and epoxies. This installation prevents the bench from shifting when bumped and can mitigate vandalism.

Abstract: A bidirectional, wedge clamp is disclosed. Conventional clamps, such as those used with electrical cables mainly secure a line in a single direction. The invention herein being comprised of a bidirectional clamp for conventional cables, wires and rope etc. (herein referred to as a ‘line’) having a simple and easily-operable construction, wherein two plate-like members and an outer sleeve-like member are telescopically assembled to clamp a line there between. Plates and sleeve members having a plurality of interconnected, opposing number of wedges that when acted upon in a lateral motion by a line there between, causing said wedges to slide against one another—thereby tightening down the plates onto said line and preventing slippage. An object of the invention is to clamp a line and prevent slipping laterally in either direction along the line's longitudinal axis.

Abstract: A system and method for anchoring bollards and curbside features is disclosed. The ‘curb apparatus’ is comprised of a planar, horizontal plate and a vertical portion on a distal end with apertures to receive a plurality of fasteners. This L-shaped, curb apparatus is selectively affixed to street curbs. An object of the invention is to support curbside features such as lighting bollards, benches, and bike racks etc. For example, in one embodiment, the feet of a park bench are affixed to the horizontal plate of the curb apparatus and the vertical portion is bolted into the vertical wall of the curb and gutter in a street. Other embodiments incorporate gussets and stiffeners to prevent bending and shifting as well as other means of fastening such as cements and epoxies. This installation prevents the bench from shifting when bumped and can mitigate vandalism.