1. A method for improving socialization outcomes for individuals with autism, the method comprising: receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches. processing the data using an artificial intelligence algorithm to identify areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties. generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.

2. The method of claim 1, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.

3. The method of claim 1, wherein the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement.

4. The method of claim 1, wherein the personalized socialization goals are tailored to the individual's age, gender, cultural background, and level of socialization difficulty.

5. The method of claim 1, further comprising providing the individual with interactive exercises and activities to help them achieve the personalized socialization goals.

6. The method of claim 1, wherein the user interface provides real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals.

7. The method of claim 1, further comprising providing recommendations to the caregiver on strategies to support the individual in achieving the personalized socialization goals.

8. The method of claim 1, wherein the artificial intelligence algorithm incorporates data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills.

9. An artificial intelligence platform for improving socialization outcomes for individuals with autism, the artificial intelligence platform comprising: a data collection module for receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches. an artificial intelligence algorithm module for processing the data and identifying areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties. a goal generation module for generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. a presentation module for presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.

10. The system of claim 9, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress. ARTIFICIAL INTELLIGENCE PLATFORM TO IMPROVE SOCIALIZATION OUTCOMES FOR INDIVIDUALS WITH AUTISM Abstract A method for improving socialisation outcomes for individuals with autism may be included in embodiments of the present disclosure. This method may include receiving data on the individual's socialisation skills, such as data from wearable devices, video recordings, and feedback from carers or socialisation coaches. Moreover, embodiments may comprise analysing the data using an artificial intelligence system in order to discover areas that might be improved, such as recognising patterns of behaviour that may lead to challenges in socialising. Moreover, embodiments may involve the generation of individualised socialising objectives for the individual based on the identified areas for development. Examples of such goals include keeping eye contact, starting discussions, and interpreting social signals. It is also possible for embodiments to incorporate the presentation of individualised socialising objectives to the individual and/or a carer through a user interface, such as a mobile application or online portal, and the provision of feedback on the individual's or caregiver's progress towards the goals. , Claims:Claims :

1. A method for improving socialization outcomes for individuals with autism, the method comprising: receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches. processing the data using an artificial intelligence algorithm to identify areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties. generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.

2. The method of claim 1, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.

3. The method of claim 1, wherein the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement.

4. The method of claim 1, wherein the personalized socialization goals are tailored to the individual's age, gender, cultural background, and level of socialization difficulty.

5. The method of claim 1, further comprising providing the individual with interactive exercises and activities to help them achieve the personalized socialization goals.

6. The method of claim 1, wherein the user interface provides real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals.

7. The method of claim 1, further comprising providing recommendations to the caregiver on strategies to support the individual in achieving the personalized socialization goals.

8. The method of claim 1, wherein the artificial intelligence algorithm incorporates data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills.

9. An artificial intelligence platform for improving socialization outcomes for individuals with autism, the artificial intelligence platform comprising: a data collection module for receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches. an artificial intelligence algorithm module for processing the data and identifying areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties. a goal generation module for generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. a presentation module for presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.

10. The system of claim 9, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.

Description:ARTIFICIAL INTELLIGENCE PLATFORM TO IMPROVE SOCIALIZATION OUTCOMES FOR INDIVIDUALS WITH AUTISM
Field of the Invention
[0001] The present invention relates to the field of artificial intelligence and more specifically to an AI platform designed to improve socialization outcomes for individuals with autism.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects approximately 1 in 54 children in the United States, according to the Centers for Disease Control and Prevention. One of the defining characteristics of ASD is social communication and interaction difficulties, which can manifest in various ways, such as a lack of social reciprocity, difficulty in understanding social cues, and challenges in forming and maintaining relationships.
[0004] These social deficits can have significant impacts on an individual's quality of life, affecting their academic and occupational success, mental health, and overall well-being. Despite the availability of various behavioral interventions, such as social skills training and applied behavior analysis, there remains a need for innovative interventions that can effectively improve socialization outcomes for individuals with ASD.
[0005] Technology-based interventions have shown promise in improving socialization outcomes for individuals with ASD, as they provide a safe and controlled environment for individuals to practice and receive feedback on social skills. Few of the patent documetns are listed below.
[0006] US11176444B2 (By: COGNOA) Disclosed herein are platforms, systems, devices, methods and media for model optimization and data analysis using machine learning. Input data can be processed and analyzed to identify relevant discriminating features, which can be modeled using a plurality of machine learning models. A computing device can be configured with one or more optimized models for categorizing input data.
[0007] EP3539033A1 (By: COGNOA) The methods and apparatus disclosed herein can evaluate a subject for a developmental condition or conditions and provide improved sensitivity and specificity for categorical determinations indicating the presence or absence of the developmental condition by isolating hard-to-screen cases as inconclusive. The methods and apparatus disclosed herein can be configured to be tunable to control the tradeoff between coverage and reliability and to adapt to different application settings and can further be specialized to handle different population groups.
[0008] US20190088366A1 (By: COGNOA) The methods and apparatus disclosed herein provide digital diagnostics and digital therapeutics to patients. The digital personalized medicine system uses digital data to assess or diagnose symptoms of a patient, and feedback from the patient response to treatment is considered to update the personalized therapeutic interventions. The methods and apparatus disclosed herein can also diagnose and treat cognitive function of a subject, with fewer questions, decreased amounts of time, and determine a plurality of behavioral, neurological or mental health disorders, and provide clinically acceptable sensitivity and specificity in the diagnosis and treatment.
[0009] However, current technology-based interventions have limitations in their effectiveness and reach. Some interventions are expensive, require specialized equipment or training, and are not easily accessible to individuals living in rural or low-income areas. Thus, a further development in this area of technology is required.
[00010] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[00011] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00012] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00013] The present invention relates to the field of artificial intelligence and more specifically to an AI platform designed to improve socialization outcomes for individuals with autism.Embodiments of the present disclosure may include a method for improving socialization outcomes for individuals with autism, wherein the method including receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches. Embodiments may also include processing the data using an artificial intelligence algorithm to identify areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties.
Embodiments may also include generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. Embodiments may also include presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.In some embodiments, the method may include monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress. In some embodiments, the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement.
In some embodiments, the personalized socialization goals may be tailored to the individual's age, gender, cultural background, and level of socialization difficulty. In some embodiments, the method may include providing the individual with interactive exercises and activities to help them achieve the personalized socialization goals.
In some embodiments, the user interface provides real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals. In some embodiments, the method may include providing recommendations to the caregiver on strategies to support the individual in achieving the personalized socialization goals. In some embodiments, the artificial intelligence algorithm incorporates data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills.
Embodiments of the present disclosure may also include an artificial intelligence platform for improving socialization outcomes for individuals with autism, the artificial intelligence platform including a data collection module for receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
Embodiments may also include an artificial intelligence algorithm module for processing the data and identifying areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties. Embodiments may also include a goal generation module for generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues. Embodiments may also include a presentation module for presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals. In some embodiments, the system may include monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.
Brief Description of the Drawings
[00014] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00015] FIG. 1 is a flowchart illustrating a method for improving socialization outcomes for individuals, according to some embodiments of the present disclosure.
[00016] FIG. 2 is a block diagram illustrating an artificial intelligence platform for improving socialization outcomes for individuals, according to some embodiments of the present disclosure.
Detailed Description
[00017] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00018] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00019] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00020] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00021] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00022] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items..
[00023] The present invention relates to the field of artificial intelligence and more specifically to an AI platform designed to improve socialization outcomes for individuals with autism.
Figure 1 presents a flowchart that illustrates one potential implementation of a method for improving the results of socialisation for individuals. This strategy is consistent with some features of the disclosure that has been made at this time. At step 110, receiving data on the individual's sociability skills is an optional step that may be included in some implementations of the approach. In other words, this step may be included in some implementations of the technique but not in others. This can entail obtaining data from wearable gadgets, comments from carers or socialisation coaches, or remarks from video recordings. At stage 120 of the process, it is possible that the data will be analysed using an algorithm based on artificial intelligence in order to identify potential areas for improvement. This may involve being able to recognise patterns of behaviour that may lead to difficulties in interacting with other people.
At step 130, the method may, in some implementations, involve the establishment of personalised socialisation objectives for the individual based on the identified areas for improvement. This might be included in certain implementations of the technique. These goals may include, among other things, objectives relating to the initiation of discussions, the maintenance of eye contact, and the comprehension of social signs. The method may include providing feedback on the individual's progress towards the tailored socialisation objectives at step 140, as well as presenting the personalised socialisation goals to the individual and/or a carer via a user interface, such as a mobile application or an online portal. This may be done in order to ensure that the individual is making adequate progress towards the tailored socialisation objectives.
In some implementations of the method, it may include monitoring the individual's progress towards achieving the personalised socialisation goals and adjusting the goals as necessary based on the individual's progress. In other words, the method is flexible enough to be implemented in a variety of ways. In certain implementations of the strategy, tracking the individual's progress towards reaching the tailored socialisation objectives may not be included. The algorithm for artificial intelligence may, in certain implementations, make use of machine learning methods in order to study the data and enhance the accuracy with which it identifies areas that might require some tweaking. This could be done in order to improve the accuracy with which it identifies regions that might require some tweaking. The customised socialisation goals may be adapted to the individual in certain implementations based on factors such as the person's age, gender, cultural background, and the degree of difficulty they have in forming relationships with other people. These are just some of the factors that may be considered.
It may be necessary, in some implementations of the approach, to provide the person being assisted with interactive activities and exercises that are geared towards assisting them in accomplishing the individualised socialising objectives. These activities and exercises are designed to help the person in question achieve the objectives. In some implementations, the user interface may be used to deliver real-time feedback to the person about their progress towards the individualised socialising goals they have set for themselves. The person being cared for and/or the individual themselves may get this input. It may be necessary, in particular applications of the technique, to provide recommendations to the carer about ways that might aid the person in achieving the individualised socialisation goals that have been established for them. An algorithm for artificial intelligence may, in some implementations, incorporate data from multiple sources, such as the individual's social media activity and patterns of online communication, in order to provide a more comprehensive analysis of the individual's ability to interact socially with other people. This analysis may be used to make recommendations for improving the individual's ability to interact socially with others.
In accordance with different implementations of the current disclosure, a block diagram of an artificial intelligence platform 200 is illustrated in FIG. 2. This artificial intelligence platform 200 has been disassembled into its component pieces and is represented here in block diagram form. The artificial intelligence platform 200 may, in some embodiments, include a data collection module 210 for the purpose of receiving data on the individual's socialisation skills, an artificial intelligence algorithm module 220 for the purpose of processing the data 212 and identifying areas for improvement, and a goal generation module 230 for the purpose of generating personalised socialisation goals for the individual based on the areas for improvement that have been identified. It's possible that the data collecting module 210 won't be present in other implementations. A presentation module 240 may also be included in the artificial intelligence platform 200. This module's purpose is to present personalised socialisation goals to an individual and/or a carer by way of a user interface, such as a mobile application or web portal, and to provide feedback on the individual's or carer's progress towards the goals 232. Along with data 212 obtained from wearable devices, video recordings, and other feedback sources, the input from carers or socialisation coaches may also be incorporated in the data gathering module 210. It is essential to be able to recognise patterns of behaviour that may be a factor to problems associated with socialising. There is a chance that the module 230 for the generation of goals will also include objectives 232 for the initiating of conversations, the maintaining of eye contact, and the perception of social cues. In some implementations, the process includes monitoring the individual's progress towards reaching the customised socialising objectives and modifying the goals 232 as necessary depending on the individual's progression. In other implementations, the process does not include monitoring the individual's progress towards reaching the customised socialising objectives.
[00024] The present invention is related to an artificial intelligence platform and method for improving socialization outcomes for individuals with autism. Autism is a developmental disorder that affects communication, social interaction, and behavior. Individuals with autism often struggle with socialization skills, including initiating conversations, maintaining eye contact, and understanding social cues. The disclosed method and system use an artificial intelligence algorithm to analyze data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
[00025] The algorithm identifies patterns of behavior that may contribute to socialization difficulties and generates personalized socialization goals for the individual based on the identified areas for improvement. The personalized socialization goals are tailored to the individual's age, gender, cultural background, and level of socialization difficulty. The goals may include exercises and activities to help the individual achieve the desired socialization outcomes.
[00026] The artificial intelligence platform includes a data collection module for receiving data on the individual's socialization skills, an artificial intelligence algorithm module for processing the data and identifying areas for improvement, a goal generation module for generating personalized socialization goals, and a presentation module for presenting the goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal. The system also includes a monitoring module for tracking the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.
[00027] In addition, the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement. The algorithm may also incorporate data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills. The system may provide real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals and provide recommendations to the caregiver on strategies to support the individual in achieving the goals.
[00028] In summary, the disclosed artificial intelligence platform and method provide a personalized, data-driven approach to improving socialization outcomes for individuals with autism, which can lead to improved communication, social interaction, and overall quality of life.
[00029] The current disclosure may provide for the provision of a chatbot system for the purpose of alleviating social anxiety in a user. Such a system may include an AI engine that is programmed to accept and evaluate input from the user. A user interface that is capable of receiving input from users and displaying output that is responsively created by an artificial intelligence engine may also be included in embodiments. A social anxiety reduction module that is configured to generate responsive output based on the analysis of user input by the AI engine may also be included in embodiments. The responsive output may include one or more of the following: cognitive-behavioral therapy techniques, mindfulness exercises, exposure therapy, and positive affirmations.
[00030] The AI engine may be further configured in certain embodiments to provide responsive output depending on user data such as mood, behaviour, and previous interactions with the chatbot system. This may be possible in some but not all implementations. In certain implementations, the social anxiety reduction module may be further customised to tailor the response output depending on user variables such as age, gender, cultural norms, and personality characteristics. This can be accomplished in a number of different ways. An interface that is based on speech, an interface that is based on text, or a mix of the two may be included in the user interface of some embodiments.
[00031] The current disclosure may also include a method for lowering social anxiety in a user by employing an AI-enabled chatbot device. This method may comprise receiving user input through a user interface of the chatbot device. In certain embodiments, this technique may be included in the present disclosure. Analyzing the user input using an artificial intelligence engine built into the chatbot device is another possible embodiment. Some embodiments may further comprise the generation of response output based on the analysis of user input, with the responsive output containing one or more of the following: positive affirmations, cognitive-behavioral treatment methods, mindfulness exercises, and exposure therapy. Displaying the response output on the user interface of the chatbot system is another possibility that may be included in embodiments. The monitoring of the user's reaction to the responsive output and the modification of the responsive output in accordance with the user's reaction are both possible aspects of embodiments.
[00032] In some implementations, the AI engine is responsible for producing responsive output depending on user data such as the user's mood, behaviour, and previous interactions with the chatbot device. In certain implementations, the output of the responsive system may be tailored using information about the user, such as their age, gender, culture, and personality characteristics. An interface that is based on speech, an interface that is based on text, or a mix of the two may be included in the user interface of some embodiments.
[00033] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.
[00034] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
[00035] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00036] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.  

Claims
I/We Claim:
1. A method for improving socialization outcomes for individuals with autism, the method comprising:
receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
processing the data using an artificial intelligence algorithm to identify areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties.
generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues.
presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.
2. The method of claim 1, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.
3. The method of claim 1, wherein the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement.

4. The method of claim 1, wherein the personalized socialization goals are tailored to the individual's age, gender, cultural background, and level of socialization difficulty.

5. The method of claim 1, further comprising providing the individual with interactive exercises and activities to help them achieve the personalized socialization goals.

6. The method of claim 1, wherein the user interface provides real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals.

7. The method of claim 1, further comprising providing recommendations to the caregiver on strategies to support the individual in achieving the personalized socialization goals.

8. The method of claim 1, wherein the artificial intelligence algorithm incorporates data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills.

9. An artificial intelligence platform for improving socialization outcomes for individuals with autism, the artificial intelligence platform comprising:
a data collection module for receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
an artificial intelligence algorithm module for processing the data and identifying areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties.
a goal generation module for generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues.
a presentation module for presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.
10. The system of claim 9, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.

ARTIFICIAL INTELLIGENCE PLATFORM TO IMPROVE SOCIALIZATION OUTCOMES FOR INDIVIDUALS WITH AUTISM
Abstract
A method for improving socialisation outcomes for individuals with autism may be included in embodiments of the present disclosure. This method may include receiving data on the individual's socialisation skills, such as data from wearable devices, video recordings, and feedback from carers or socialisation coaches. Moreover, embodiments may comprise analysing the data using an artificial intelligence system in order to discover areas that might be improved, such as recognising patterns of behaviour that may lead to challenges in socialising. Moreover, embodiments may involve the generation of individualised socialising objectives for the individual based on the identified areas for development. Examples of such goals include keeping eye contact, starting discussions, and interpreting social signals. It is also possible for embodiments to incorporate the presentation of individualised socialising objectives to the individual and/or a carer through a user interface, such as a mobile application or online portal, and the provision of feedback on the individual's or caregiver's progress towards the goals. , Claims:Claims
I/We Claim:
1. A method for improving socialization outcomes for individuals with autism, the method comprising:
receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
processing the data using an artificial intelligence algorithm to identify areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties.
generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues.
presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.
2. The method of claim 1, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.
3. The method of claim 1, wherein the artificial intelligence algorithm uses machine learning techniques to analyze the data and improve its accuracy in identifying areas for improvement.

4. The method of claim 1, wherein the personalized socialization goals are tailored to the individual's age, gender, cultural background, and level of socialization difficulty.

5. The method of claim 1, further comprising providing the individual with interactive exercises and activities to help them achieve the personalized socialization goals.

6. The method of claim 1, wherein the user interface provides real-time feedback to the individual and/or caregiver on the individual's progress towards the personalized socialization goals.

7. The method of claim 1, further comprising providing recommendations to the caregiver on strategies to support the individual in achieving the personalized socialization goals.

8. The method of claim 1, wherein the artificial intelligence algorithm incorporates data from multiple sources, including the individual's social media activity and online communication patterns, to provide a more comprehensive analysis of the individual's socialization skills.

9. An artificial intelligence platform for improving socialization outcomes for individuals with autism, the artificial intelligence platform comprising:
a data collection module for receiving data on the individual's socialization skills, including data from wearable devices, video recordings, and feedback from caregivers or socialization coaches.
an artificial intelligence algorithm module for processing the data and identifying areas for improvement, including identifying patterns of behavior that may contribute to socialization difficulties.
a goal generation module for generating personalized socialization goals for the individual based on the identified areas for improvement, including goals related to initiating conversations, maintaining eye contact, and understanding social cues.
a presentation module for presenting the personalized socialization goals to the individual and/or a caregiver through a user interface, such as a mobile application or web portal, and providing feedback on progress towards the goals.
10. The system of claim 9, further comprising monitoring the individual's progress towards achieving the personalized socialization goals and adjusting the goals as necessary based on the individual's progress.