DESC:FIELD OF THE INVENTION:
This invention relates to the field of computer engineering and learning networks.

Particularly, this invention relates to interactive systems and methods providing mediated environments and action prompts for development.

BACKGROUND OF THE INVENTION:
Brains are built over time, from the bottom up. Brains are built and grown through touch, talk, sight, and sound in early childhood experiences.

In the first few years of life, more than 1 million new neural connections are formed every second. After this period of rapid proliferation, connections are reduced through a process called pruning, so that brain circuits become more efficient.

A delay in reaching language, thinking, sensory, social, motor, or the like skills’ milestones is called developmental delay. It can be caused by things like heredity, pregnancy complications, or premature birth and various other unknown reasons during early years of development. The cause isn’t always known. Children reach developmental milestones at their own pace, and some move faster than others.

Delays may be cognitive delays, motor delays, social, emotional, and behavioural delays, speech delays, and the like delays.

There are no definitive, repeatable, systems and methods for assessing / determining these delays and even no definitive, repeatable, systems and methods for providing intervention / prompts upon assessing / determining these delays.

Therefore, there is a need to provide a solution to the aforementioned problems.

OBJECTS OF THE INVENTION:
An object of the invention is to provide definitive, repeatable, systems and methods for determining developmental delays.

Another object of the invention is to provide definitive, repeatable, systems and methods for determining types of intelligence in relation to brain.

Yet another object of the invention is to provide definitive, repeatable, systems and methods for providing intervention / prompts upon assessing / determining these delays correlative to type of intelligence.

SUMMARY OF THE INVENTION:
According to this invention, there are provided interactive systems and methods providing mediated environments and action prompts for development, said systems enabled by electronic mediums with graphical user interfaces, configured to send actuation signals and further configured to receive responses, from one or more nodes, in terms of feedback signals in response to said sent actuation signals, said system comprising:
- one or more defining nodes, networked in said system, accessible through a graphical user interface, calling a defining module configured to define a set of items in terms of actuation signals, responses in terms of possible feedback signals, and associated weights correlative to said feedback signals,
o a delay defining module configured to allow an administrator, of this system and method, to define various types of delay data points, in terms of preset timers connected to one or more capturing nodes, correlative to weights associated with each of defining modules selectable from a group consisting of objective-written tasks-defining module, unique-weighted activities-defining module, and repetitive-weighted activities-defining module;
o said delay defining module defining association of weights correlative to said feedback signals;
- one or more profiling nodes, networked in said system, accessible through a graphical user interface, calling a profiling module configured to profile a user to be evaluated using this system and method in terms of demographics data;
o said profiling module defining actuation signals;
- one or more capturing nodes, networked in said system, accessible through a graphical user interface, calling a capturing module configured to record objective-written tasks with weighted responses to be selected by the user, the weights being correlative to delay that is to be assessed;
o said capturing module defining feedback signals correlative to said actuation signals;
- one or more computational nodes, networked in said system, accessible through a graphical user interface, calling a computation engine to form a plotted array, hosting data items having assignable dimensions, said data items being populated based on data from said profiling module and based on data from each of said capturing mechanisms, to compile each of the input data items in terms of assignable dimensions in correlation with a mapper;
- a notification engine, networked in said system, configured to notify said user, through a corresponding node, of the user’s age-dependent milestone check as a function of captured responses being feedback signals, from the capturing mechanisms, correlative to age-dependent functions; and
- a correlator configured to correlate defined intelligence data points, through actuation signals, and defined delay data points, through feedback signals, with captured data from the capturing mechanisms, said correlator configured to plot said each of said delay data points and each of said defined intelligence data points it in said array, in order to output a response-correlative two-dimensional data from the plotted array.

In at least an embodiment, said set of items, responses, and associated weights comprising objective-written tasks, task-correlative responses, weights to the task-correlative responses, unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities

In at least an embodiment, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling an objective-written tasks-defining module configured to define objective-written tasks, task-correlative responses, weights to the task-correlative responses to be presented to an actual user via Graphical User Interfaces.

In at least an embodiment, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling a unique-weighted activities-defining module configured to define unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities to be presented to an actual user via Graphical User Interfaces.

In at least an embodiment, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling a repetitive-weighted activities-defining module configured to define, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities to be presented to an actual user via Graphical User Interfaces.

In at least an embodiment, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling an intelligence defining module configured to allow an administrator, of this system and method, to define various types of intelligence data points correlative to weights associated with each of the aforementioned objective-written tasks-defining module, unique-weighted activities-defining module, and repetitive-weighted activities-defining module.

In at least an embodiment, said one or more profiling nodes, networked in said system, accessible through a graphical user interface and calling a profiling module comprising:
- age capturing mechanism, facilitated by a Graphical User Interface, to capture age of the user; and
- a classifier configured to classify the user based on pre-defined rules of classification based on captured demographic data

In at least an embodiment, said one or more capturing nodes, networked in said system, accessible through a graphical user interface and calling a capturing module comprising:
- a prompt-response capturing mechanism, accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record objective-written tasks with weighted responses to be selected by the actual user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed;
- a first task-response capturing mechanism, accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a first user when the actual user performs the defined activities, the observation data is to be fed by the first user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed;
- a second task-response capturing mechanism, accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a second user when the actual user performs the defined activities, the observation data is to be fed by the second user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed; and
- a third task-response capturing mechanism, accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a third user when the actual user performs the defined activities, the observation data is to be fed by the third user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed.

In at least an embodiment, said one or more computational nodes, networked in said system, accessible through a graphical user interface and calling a computation engine comprising:
- a notification engine to display a notification, the notification being an age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions;
- a polling mechanism configured to poll, for data, each of the capturing mechanisms in relation to the profiling module;
- a mapper configured to map age-groups correlative to thresholds of motor functions to be achieved and to map age-groups correlative to thresholds of sensory functions to be achieved, output said mapper being a plotted array configured to host data items to be populated based on data from profiling module and based on data from each of the capturing mechanism, said plotted array has at least two dimensions, a first dimension being type of intelligence and a second dimension being selectable from a motor function and a sensory function, these functions depicted by reference numerals;
- a data inputter configured to fill the mapped array with responses secured from each of the capturing mechanisms;
- a compiler configured to compile each of the input data items in terms of assignable dimensions in correlation with the mapper;
- said notification engine configured to notify a user, through a corresponding node, of the user’s age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions; and
- a correlator configured to correlate defined intelligence data points and defined delay data points with captured data from the capturing mechanisms and plots it in the plotted array; in order to output a response-correlative two-dimensional data from the plotted array.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
The invention will now be described in relation to the accompanying drawings in which:

FIGURE 1 illustrates a schematic block diagram of the system of this invention;
FIGURE 2 illustrates a schematic block diagram of the method of this invention;
FIGURE 3 illustrates a high-level flow of the whole process diagram of the method of this invention;
FIGURE 4 illustrates a Defining Purpose (DP) diagram of the system and method of this invention;
FIGURE 5 illustrates a Defining Module (DM) diagram of the system and method of this invention;
FIGURE 6 illustrates a Profile Module (PM) diagram of the system and method of this invention;
FIGURE 7 illustrates a Compiler (CLE) diagram of the system and method of this invention;
FIGURE 8 illustrates a Data Process Algorithm diagram of the system and method of this invention;
FIGURE 9 illustrates a Cyclic Process from 0-6 Years flow (data capturing per level -> generating analysis per level) diagram of the system and method of this invention (Lx – Level as given in chart);
FIGURE 10 illustrates various observations from various perspectives i.e. feedback signals in response to actuation signals;
FIGURE 11 illustrates feedback signals; and
FIGURE 12 illustrates response times correlative to delay times in relation to feedback signals responsive to actuation signals.

DETAILED DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
According to this invention, there are provided interactive systems and methods providing mediated environments and action prompts for development.

FIGURE 1 illustrates a schematic block diagram of the system of this invention.
FIGURE 2 illustrates a schematic block diagram of the method of this invention.

The system and method, of this invention, determines a networked environment, with various nodes. The network may comprise any network suitable for embodiments of the present invention. For example, the network may be a partial or full deployment of most any communication / computer network or link, including any of, any multiple of, any combination of or any combination of multiples of a public or private, terrestrial wireless or satellite, and wireline networks or links. The network may include, for example, network elements from a Public Switch Telephone Network (PSTN), the Internet, core and proprietary public networks, wireless voice and packet-data networks, such as 1G, 2G, 2.5G, 3G, 4G, 5G, and 6G telecommunication networks, wireless office telephone systems (WOTS) and / or wireless local area networks (WLANs), including, Bluetooth and / or IEEE 802.11 WLANs, wireless personal area networks (WPANs), wireless metropolitan area networks (WMANs) and the like; virtual local area networks (VLANs) and/ or communication links, such as Universal Serial Bus (USB) links; parallel port links, Firewire links, RS-232 links, RS-485 links, Controller- Area Network (CAN) links, and the like.

In accordance with many embodiments of the present invention, each of the nodes associated with the system are coupled with the necessary electronic devices, having platforms and databases where applicable, to execute the methods as set forth by embodiments of the present invention.

In at least an embodiment, the system and method, of this invention, comprises a defining module (DM), accessible by the one or more defining nodes, configured to define the various objective-written tasks, task-correlative responses, weights to the task-correlative responses, unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities.
In at least an embodiment of the defining module (DM), the system and method, of this invention, comprises an objective-written tasks-defining module (DM1), accessible by the one or more defined nodes, configured to define objective-written tasks, task-correlative responses, weights to the task-correlative responses to be presented to an actual user via Graphical User Interfaces.
In at least an embodiment of the defining module (DM), the system and method, of this invention, comprises a unique-weighted activities-defining module (DM2), accessible by the one or more defined nodes, configured to define unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities to be presented to an actual user via Graphical User Interfaces.
In at least an embodiment of the defining module (DM), the system and method, of this invention, comprises a repetitive-weighted activities-defining module (DM3), accessible by the one or more defined nodes, configured to define, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities to be presented to an actual user via Graphical User Interfaces.
In at least an embodiment of the defining module (DM), the system and method, of this invention, comprises an intelligence defining module configured to allow an administrator, of this system and method, to define various types of intelligence data points correlative to weights associated with each of the aforementioned objective-written tasks-defining module (DM1), unique-weighted activities-defining module (DM2), and repetitive-weighted activities-defining module (DM3).
In at least an embodiment of the defining module (DM), the system and method, of this invention, comprises a delay defining module configured to allow an administrator, of this system and method, to define various types of delay data points correlative to weights associated with each of the aforementioned objective-written tasks-defining module (DM1), unique-weighted activities-defining module (DM2), and repetitive-weighted activities-defining module (DM3).

In at least an embodiment, the system and method, of this invention, comprises a profiling module (PM), accessible by the one or more profiling nodes, configured to profile a user to be evaluated using this system and method in terms of demographics data. In at least an embodiment of the profiling module (PM), there is provided an age capturing mechanism (ACM), facilitated by a Graphical User Interface, to capture age of the user. A classifier (CL) is configured to classify the user based on pre-defined rules of classification based on captured demographic data. E.g. a user can be grouped into groups, L1, L2, L3, and the like; based on age groups.

In at least an embodiment, the system and method, of this invention, comprises a capturing module (CM), accessible by the one or more capturing nodes, configured to capture various responses to various pre-defined tasks by various nodes connected to this system and method.
In at least an embodiment of the capturing module (CM), there is provided a prompt-response capturing mechanism (CM1), accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, the module being configured to record objective-written tasks with weighted responses to be selected by the actual user, through the Graphical User Interface. The weights are correlative to delay that is to be assessed.
In at least an embodiment of the capturing module (CM), there is provided a first task-response capturing mechanism (CM2), accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, the module being configured to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a first user when the actual user performs the defined activities. The observation data is to be fed by the first user, through the Graphical User Interface. The weights are correlative to delay that is to be assessed. In non-limiting exemplary embodiments, the first user may be closely related to the actual user.
In at least an embodiment of the capturing module (CM), there is provided a second task-response capturing mechanism (CM3), accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, the module being configured to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a second user when the actual user performs the defined activities. The observation data is to be fed by the second user, through the Graphical User Interface. The weights are correlative to delay that is to be assessed. In non-limiting exemplary embodiments, the second user may be associated with teaching the actual user.
In at least an embodiment of the capturing module (CM), there is provided a third task-response capturing mechanism (CM4), accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, the module being configured to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a third user when the actual user performs the defined activities. The observation data is to be fed by the third user, through the Graphical User Interface. The weights are correlative to delay that is to be assessed. In non-limiting exemplary embodiments, the second user may be associated with treating the actual user.

FIGURE 3 illustrates a high-level flow of the whole process diagram of the method of this invention.
The diagram illustrates a high-level overview of the entire process of the method described in this invention. It outlines a systematic journey of a user as follows:
1. The Defining Module (DM) registers the user's details through the Profiling Module (PM) and captures their data through the Capturing Module (CM).
2. The Capturing Module (CM) provides the necessary inputs related to the user. The AI uses a polling mechanism (PLM) and a mapper (MP) to interpret and share details through the Data Inputter (DI). The Compile Module (CLE) configures the compilation of each input data and updates the average score for machine learning (ML)
3. The Notification Engine (NE) sends the required Analysis and Intervention to multiple users.

In at least an embodiment, the system and method, of this invention, comprises a computation engine (CMPE), accessible by the one or more computing nodes, configured to compute, and display, a notification, the notification being an age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions.
In at least an embodiment of the computation engine (CMPE), there is provided a polling mechanism (PLM) configured to poll, for data, each of the capturing mechanisms (CM) in relation to the profiling module (PM). Typically, this polling is configured to take place at pre-defined intervals. In non-limiting exemplary embodiments, the intervals are defined to be at one week, at two weeks, bi-weekly, at eight weeks, and the like.
In at least an embodiment of the computation engine (CMPE), there is provided a mapper (MP) configured to map age-groups correlative to thresholds of motor functions to be achieved and to map age-groups correlative to thresholds of sensory functions to be achieved. The output of a mapper is a plotted array configured to host data items to be populated based on data from profiling module (PM) and based on data from each of the capturing mechanisms (CM). The plotted array has at least two dimensions (A1, A2), a first dimension (A1) being type of intelligence (A1.1, A1.2, A1.3,….., A1.n) and a second dimension (A2) being selectable from a motor function and a sensory function, these functions depicted by reference numerals (A2.1, A2.2, A2.3,….., A2.n).
In at least an embodiment of the computation engine (CMPE), there is provided a data inputter (DI) configured to fill the mapped array with responses secured from each of the capturing mechanisms (CM).
In at least an embodiment of the computation engine (CMPE), there is provided a compile (CLE) configured to compile each of the input data items in terms of assignable dimensions (A1, A2) in correlation with the mapper (MP).
In at least an embodiment of the computation engine (CMPE), there is provided a notification engine (NE) configured to notify a user, through a corresponding node, of the user’s age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions.
In at least an embodiment of the computation engine (CMPE), the system and method, of this invention, comprises a correlator configured to correlate defined intelligence data points and defined delay data points with captured data from the capturing mechanisms (CM) and plots it in the plotted array; in order to output a response-correlative two-dimensional data from the plotted array.

FIGURE 4 illustrates a Defining Purpose (DP) diagram of the system and method of this invention.
The diagram demonstrates the Defining Purpose (DP) of the method described in this invention. It shows how the initial user sets a purpose for using the invention. The purpose can be specified by:
1. Preschool
2. Clinic
3. Parent
4. …..
5. Government Bodies
Any of these entities may define a purpose or reason for checking a child’s developmental milestone status and to track and analyse the child’s developmental progress.
This purpose is then submitted as a registration with Integrated Systems of Early Intervention.

FIGURE 5 illustrates a Defining Module (DM) diagram of the system and method of this invention.
The diagram illustrates the high-level process flow of the Defining Module (DM). It provides a systematic overview of how the DM shares analysis and interpretation data with multiple users. The process includes:
1. Assigning user levels based on age groups.
2. Assigning the tasks to the observing users according to milestones, multiple intelligence, user level and age group parameters.

FIGURE 6 illustrates a Profile Module (PM) diagram of the system and method of this invention.
The diagram illustrates a Profile Module (PM) of the method described in this invention. The PM employs an age capturing mechanism (ACM) to determine a child's age, which is used to assign them to the appropriate age group as required by the DM module. A classifier (CL) is configured to categorize the user based on predefined classification rules using the captured demographic data.

FIGURE 7 illustrates a Compiler (CLE) diagram of the system and method of this invention.
The diagram depicts a Compiler (CLE) diagram illustrating the method of this invention. The Compile (CLE) function is set up to compile each input data item based on assignable dimensions correlated with the mapper (MP). Upon receiving input data, CLE compiles and analyzes it using algorithms from the AI engine. These algorithms assess scores according to milestones, transmit data to age groups, calculate average scores of users within each age group, and deliver Analysis and Intervention reports through the Notification Engine (NE).

FIGURE 8 illustrates a Data Process Algorithm diagram of the system and method of this invention.
The diagram depicts a Data Processing Algorithm highlighting the methodology of this innovation. The Data Processing Algorithm generates a comparative analysis of the child based on input data from the CM. Modules such as CLE, PLM, MP, and DI form integral parts of this algorithm. Beyond generating analysis, this algorithm leverages the results to offer personalized interventions tailored to the child's developmental status. This algorithm updates the average score with the child’s data to track the child’s developmental progress and provides Individualized Support for Early Intervention of the child.

FIGURE 9 illustrates a Cyclic Process from 0-6 Years flow (data capturing per level -> generating analysis per level) diagram of the system and method of this invention (Lx – Level as given in chart).
The diagram depicts a cyclic process spanning from 0 to 6 years, illustrating the flow of data capture and progress tracking at each level (denoted as Lx in the chart). After CM, the invention evaluates users based on age criteria and assigns a corresponding level for the AI engine. Analysis of every level including interventions and planners are sent to respective users via the Notification Engine.

FIGURE 10 illustrates various observations from various perspectives i.e. feedback signals in response to actuation signals.
FIGURE 11 illustrates feedback signals.
FIGURE 12 illustrates response times correlative to delay times in relation to feedback signals responsive to actuation signals.

The TECHNICAL ADVANCEMENT, of this invention, lies in providing a multi-dimensional, multi-modal-response-capturing system and method which notifies a user of data correlative to the user’s age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent functions (motor, sensory, and the like).

While this detailed description has disclosed certain specific embodiments for illustrative purposes, various modifications will be apparent to those skilled in the art which do not constitute departures from the spirit and scope of the invention as defined in the following claims, and it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the invention and not as a limitation.
,CLAIMS:WE CLAIM,

1. Interactive systems providing mediated environments and action prompts for development in said mediated environments, said systems enabled by electronic mediums with graphical user interfaces, configured to send actuation signals and further configured to receive responses, from one or more nodes, in terms of feedback signals in response to said sent actuation signals, said system comprising:
- one or more defining nodes, networked in said system, accessible through a graphical user interface, calling a defining module (DM) configured to define a set of items in terms of actuation signals, responses in terms of possible feedback signals, and associated weights correlative to said feedback signals,
o a delay defining module configured to allow an administrator, of this system and method, to define various types of delay data points, in terms of preset timers connected to one or more capturing nodes, correlative to weights associated with each of defining modules (DM) selectable from a group consisting of objective-written tasks-defining module (DM1), unique-weighted activities-defining module (DM2), and repetitive-weighted activities-defining module (DM3);
o said delay defining module defining association of weights correlative to said feedback signals;
- one or more profiling nodes, networked in said system, accessible through a graphical user interface, calling a profiling module (PM) configured to profile a user to be evaluated using this system and method in terms of demographics data;
o said profiling module defining actuation signals;
- one or more capturing nodes, networked in said system, accessible through a graphical user interface, calling a capturing module (CM) configured to record objective-written tasks with weighted responses to be selected by the user, the weights being correlative to delay that is to be assessed;
o said capturing module defining feedback signals correlative to said actuation signals;
- one or more computational nodes, networked in said system, accessible through a graphical user interface, calling a computation engine (CMPE) to form a plotted array, hosting data items having assignable dimensions (A1, A2), said data items being populated based on data from said profiling module (PM) and based on data from each of said capturing mechanisms (CM), to compile each of the input data items in terms of assignable dimensions (A1, A2) in correlation with a mapper (MP);
- a notification engine (NE), networked in said system, configured to notify said user, through a corresponding node, of the user’s age-dependent milestone check as a function of captured responses being feedback signals, from the capturing mechanisms (CM), correlative to age-dependent functions; and
- a correlator configured to correlate defined intelligence data points, through actuation signals, and defined delay data points, through feedback signals, with captured data from the capturing mechanisms (CM), said correlator configured to plot said each of said delay data points and each of said defined intelligence data points it in said array, in order to output a response-correlative two-dimensional data from the plotted array.

2. The system as claimed in claim 1 wherein, said set of items, responses, and associated weights comprising objective-written tasks, task-correlative responses, weights to the task-correlative responses, unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities

3. The system as claimed in claim 1 wherein, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module (DM) comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling an objective-written tasks-defining module (DM1) configured to define objective-written tasks, task-correlative responses, weights to the task-correlative responses to be presented to an actual user via Graphical User Interfaces.

4. The system as claimed in claim 1 wherein, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module (DM) comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling a unique-weighted activities-defining module (DM2) configured to define unique-weighted activities, observations to the unique-weighted activities, weights to the unique-weighted activities to be presented to an actual user via Graphical User Interfaces.

5. The system as claimed in claim 1 wherein, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module (DM) comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling a repetitive-weighted activities-defining module (DM3) configured to define, repetitive-weighted activities, observations to the repetitive-weighted activities, weights to the repetitive-weighted activities to be presented to an actual user via Graphical User Interfaces.

6. The system as claimed in claim 1 wherein, said one or more defining nodes, networked in said system, accessible through a graphical user interface and calling a defining module (DM) comprising:
- at least a node, networked in said system, accessible through a graphical user interface and calling an intelligence defining module configured to allow an administrator, of this system and method, to define various types of intelligence data points correlative to weights associated with each of the aforementioned objective-written tasks-defining module (DM1), unique-weighted activities-defining module (DM2), and repetitive-weighted activities-defining module (DM3).

7. The system as claimed in claim 1 wherein, said one or more profiling nodes, networked in said system, accessible through a graphical user interface and calling a profiling module (PM) comprising:
- age capturing mechanism (ACM), facilitated by a Graphical User Interface, to capture age of the user; and
- a classifier (CL) configured to classify the user based on pre-defined rules of classification based on captured demographic data

8. The system as claimed in claim 1 wherein, said one or more capturing nodes, networked in said system, accessible through a graphical user interface and calling a capturing module (CM) comprising:
- a prompt-response capturing mechanism (CM1), accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record objective-written tasks with weighted responses to be selected by the actual user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed;
- a first task-response capturing mechanism (CM2), accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a first user when the actual user performs the defined activities, the observation data is to be fed by the first user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed;
- a second task-response capturing mechanism (CM3), accessible by the one or more capturing nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a second user when the actual user performs the defined activities, the observation data is to be fed by the second user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed; and
- a third task-response capturing mechanism (CM4), accessible by the one or more defined nodes, and facilitated by a Graphical User Interface, to record activities, selectable from unique-weighted activities and repetitive-weighted activities, with weights assigned to observations made by a third user when the actual user performs the defined activities, the observation data is to be fed by the third user, through the Graphical User Interface, the weights being correlative to delay that is to be assessed.

9. The system as claimed in claim 1 wherein, said one or more computational nodes, networked in said system, accessible through a graphical user interface and calling a computation engine (CMPE) comprising:
- a notification engine to display a notification, the notification being an age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions;
- a polling mechanism (PLM) configured to poll, for data, each of the capturing mechanisms (CM) in relation to the profiling module (PM);
- a mapper (MP) configured to map age-groups correlative to thresholds of motor functions to be achieved and to map age-groups correlative to thresholds of sensory functions to be achieved, output said mapper being a plotted array configured to host data items to be populated based on data from profiling module (PM) and based on data from each of the capturing mechanisms (CM), said plotted array has at least two dimensions (A1, A2), a first dimension (A1) being type of intelligence (A1.1, A1.2, A1.3,….., A1.n) and a second dimension (A2) being selectable from a motor function and a sensory function, these functions depicted by reference numerals (A2.1, A2.2, A2.3,….., A2.n);
- a data inputter (DI) configured to fill the mapped array with responses secured from each of the capturing mechanisms (CM);
- a compiler (CLE) configured to compile each of the input data items in terms of assignable dimensions (A1, A2) in correlation with the mapper (MP);
- said notification engine (NE) configured to notify a user, through a corresponding node, of the user’s age-dependent milestone check as a function of captured responses (from the capturing mechanisms) correlative to age-dependent motor functions and / or age-dependent sensory functions; and
- a correlator configured to correlate defined intelligence data points and defined delay data points with captured data from the capturing mechanisms (CM) and plots it in the plotted array; in order to output a response-correlative two-dimensional data from the plotted array.

Dated this 03rd day of June, 2024

CHIRAG TANNA
of INK IDÉE
APPLICANT’S PATENT AGENT
REGN. NO. IN/PA - 1785