Abstract: The present application relates to developing and deploying machine learning analysis systems using a low-code or no-code approach. A cloud service is configured to receive a first data stream from a sensor device and train a machine-learning model to recognize selected elements of the first data stream that are selected from a package of template models via a graphical user interface. The cloud service deploys the machine-learning model to an edge datacenter configured to receive a second data stream via a network connection. The edge datacenter locally interrogates the second data stream based on the machine-learning model to generate an element set including the selected elements. A logic service may receive a selection of one or more properties of the element set and one or more logical operators via a graphical user interface to generate user-configured logical rules. The logic service may the user-configured logical rules to the element set.

Abstract: The present application relates to developing and deploying machine learning analysis systems using a low-code or no-code approach. A cloud service is configured to receive a first data stream from a sensor device and train a machine-learning model to recognize selected elements of the first data stream that are selected from a package of template models via a graphical user interface. The cloud service deploys the machine-learning model to an edge datacenter configured to receive a second data stream via a network connection. The edge datacenter locally interrogates the second data stream based on the machine-learning model to generate an element set including the selected elements. A logic service may receive a selection of one or more properties of the element set and one or more logical operators via a graphical user interface to generate user-configured logical rules. The logic service may the user-configured logical rules to the element set.

Abstract: A system and methods for streamlining the legal client intake process and revolutionizing the way legal representation in general is effectuated is disclosed. The system includes an intake platform, and optionally includes one or more of the following modules which interface with the intake platform: a scheduling module, a messaging client, a documents database, a virtual meeting platform, a client database, an attorney database, a payment module. The system is capable of formalizing an engagement for legal services between the user and a practitioner selected by the user, generating drafts of legal documents, sending drafts of such legal documents to the user and practitioner, scheduling an initial meeting between the user and practitioner, and soliciting and accepting payment for legal services, via a single platform.