EMOTIONAL INTELLIGENCE ANALYSIS PLATFORM

Abstract

The Emotional Intelligence Analysis Platform is an advanced software system designed to assess, analyse, and improve an individual's emotional intelligence (EI). It utilizes artificial intelligence (AI), machine learning (ML), and biometric technologies to evaluate emotional awareness, interpersonal skills, and social interactions through various assessment tools, real-time emotion tracking, and personalized feedback mechanisms. The platform can be employed in personal development, corporate training, education, and therapy.

Specification

Description:FIELD OF THE INVENTION
[0001] The present invention pertains to the field of psychological and behavioural analysis, particularly focusing on the development and enhancement of emotional intelligence (EI).

BACKGROUND OF THE INVENTION
[0002] Emotional intelligence (EI) refers to the capacity to recognize, comprehend, and manage one's emotions as well as to understand and influence the emotions of others. First popularized by Daniel Goleman in the 1990s, emotional intelligence has since been identified as a significant factor influencing personal and professional success. Research has consistently shown that individuals with high emotional intelligence tend to have better mental health, stronger interpersonal relationships, and superior leadership capabilities compared to those with lower EI.
[0003] Despite its importance, assessing and developing emotional intelligence has posed challenges for individuals and organizations. Traditional methods of evaluating EI often rely on subjective self-reports, basic questionnaires, or observational techniques. While these tools provide a general overview, they lack the depth and precision needed for comprehensive analysis and development. Additionally, they do not provide real-time feedback or adaptive learning paths tailored to individual needs. This has created a gap in the market for more robust solutions that leverage technological advancements for deeper insights and more effective training.
[0004] With the rise of digital technology and artificial intelligence (AI), new opportunities have emerged to create platforms that can analyze human emotions and interactions more accurately. Advancements in facial recognition, natural language processing (NLP), machine learning (ML), and voice tone analysis have opened doors to more sophisticated means of assessing emotional intelligence. These technologies can identify subtle emotional cues that were previously hard to detect and interpret, enabling real-time analysis and feedback. Furthermore, the advent of biometric data processing allows for the incorporation of more objective metrics to complement traditional self-assessments.
[0005] Organizations and educational institutions have recognized the critical role of emotional intelligence in enhancing communication, teamwork, and leadership. In the workplace, for instance, employees with high EI contribute to better team dynamics, reduced conflicts, and increased productivity. However, existing training programs are often generic and not tailored to an individual's specific strengths and weaknesses. They also fail to provide ongoing analysis and improvement tracking, which are essential for sustainable growth. Thus, there is a need for a comprehensive platform that not only assesses emotional intelligence but also provides personalized feedback and development plans to foster continuous improvement.
[0006] Therapists, life coaches, and human resources professionals have long sought effective tools to help clients and employees develop emotional intelligence. The conventional approaches often fall short in providing actionable insights and tangible data to guide these development efforts. Similarly, educators are looking for ways to integrate social-emotional learning (SEL) into curricula to equip students with the emotional skills needed for success in both school and life. These applications require a solution that can accurately analyse emotional responses and recommend targeted training to strengthen specific EI components.
[0007] The platform's capability to create personalized development plans sets it apart from standard training programs. Based on the initial assessments, the platform offers recommendations and interactive training modules tailored to each user's unique profile. This ensures that individuals receive specific guidance to improve areas such as empathy, self-regulation, motivation, and social skills. Furthermore, the platform includes progress tracking and data visualization tools, allowing users and organizations to monitor growth over time. In an age where emotional intelligence is recognized as a key determinant of success, the need for a comprehensive, data-driven, and adaptive solution is more pressing than ever. The Emotional Intelligence Analysis Platform fills this gap by merging technological innovation with psychological insights, creating an effective tool for enhancing emotional intelligence in personal, educational, and professional settings. This invention leverages modern AI and biometric technologies to elevate the way EI is assessed, trained, and developed, setting a new standard for emotional intelligence enhancement in the digital era.

OBJECTS OF THE INVENTION
[0008]It is an object of the present invention, is to provide a platform that accurately measures various components of emotional intelligence, such as self-awareness, self-regulation, motivation, empathy, and social skills, through a combination of advanced self-assessment tools, behavioural simulations, and feedback mechanisms.
[0009]Another object of the present invention is to incorporate real-time emotion tracking using facial recognition, voice tone analysis, and natural language processing (NLP) to assess emotional states and reactions, allowing for immediate feedback and continuous monitoring.
[0010]Yet another object of the present disclosure is to create personalized development plans that include specific, actionable recommendations and training exercises tailored to individual needs, ensuring targeted improvement in identified areas of emotional intelligence.
[0011]A further object of the present invention is to offer interactive, gamified training modules designed to engage users in developing their emotional intelligence in an enjoyable and effective manner.
[0012]Another further object of the present invention is to provide users and organizations with tools for tracking and visualizing progress over time, enabling continuous self-improvement and data-driven decision-making regarding personal or team development.
[0013]A further another object of the present invention is to ensure that all user data, including biometric and emotional analysis, is securely processed and stored, adhering to data protection regulations and maintaining user confidentiality.
[0014]These and another objects and advantages will become more apparent when reference is made to the following description and accompanying drawings.

SUMMARY OF THE INVENTION
[0015]A solution to one or more drawbacks of the existing technology and additional advantages are provided through the present disclosure. Additional features and advantages are realized through the technicalities of the present disclosure. Other aspects of the disclosure are described in detail herein and are considered to be a part of the claimed disclosure.
[0016]In an aspect of the present invention, AI-powered facial recognition technology detects and interprets micro-expressions and emotional cues during video interactions.
[0017]In an aspect of the present invention, voice analysis algorithms monitor speech patterns, tone, and pitch to identify emotional states during conversations or presentations.
[0018]In an aspect of the present invention, natural language processing (NLP) evaluates the sentiment and emotional undertones in written communications, such as emails and messages, providing feedback on emotional consistency and tone.
[0019]In an aspect of the present invention, engaging exercises and simulations that help users develop targeted EI skills such as empathy, conflict resolution, and stress management.
[0020]In an aspect of the present invention, the platform's learning algorithms adjust the content based on user progress, ensuring that users receive the most relevant training to foster continuous improvement.
[0021]In an aspect of the present invention, short, actionable tasks that encourage users to practice emotional intelligence in real-life scenarios.
[0022]In an aspect of the present invention, several more characteristics, uses, embodiments, and/or modifications of the disclosed invention will be seen from the items are placed and the in-depth description that follows. Without straying from the fundamentals of the disclosed technology, further and/or alternative configurations of the components, systems, quasi computer readable media, and techniques can be used.
BRIEF DESCRIPTION OF THE DRAWINGS

[0023]Figure 1 is the flowchart depicting the disclosed invention;

[0024]The figure of the present subject matter depict for illustration only. A person skilled in the art will easily recognize from the following description that the illustration herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION

[0025]The present invention is of the best mode presently contemplated for carrying out the invention. This description is not to be taken in a limiting sense, but is made merely for the purpose of describing the general principles of the invention. The scope of the invention should be determined with reference to the claims.
[0026] The Emotional Intelligence Analysis Platform is designed to collect and analyse various forms of data to evaluate a user's emotional intelligence across several dimensions. By integrating multiple data sources, including textual input, vocal tone, facial expressions, and physiological signals, the platform offers a holistic assessment of emotional awareness, regulation, and interpersonal skills. The platform not only provides users with a detailed emotional intelligence profile but also offers personalized feedback and improvement strategies. The Emotional Intelligence Analysis Platform stands out due to its combination of real-time tracking, comprehensive assessments, and personalized development plans. Unlike traditional, static EI tests, this platform uses dynamic data inputs and provides ongoing analysis and improvement recommendations. The inclusion of biometric and real-time monitoring capabilities sets it apart, offering a more in-depth and accurate understanding of emotional intelligence than conventional methods.
[0027] The core of the platform utilizes advanced machine learning techniques to analyse the collected data. Natural language processing (NLP) is employed to assess sentiment in textual data, while audio analysis algorithms evaluate emotional cues in voice recordings. Facial recognition algorithms identify emotional expressions based on established emotion recognition frameworks. The platform compares the analysed data against a validated emotional intelligence framework, assessing key components such as emotional awareness, emotional regulation, social skills, empathy, and motivation.
[0028] Based on the analysis, the platform generates a comprehensive emotional intelligence profile for the user. This profile includes quantitative metrics and qualitative insights, highlighting areas of strength and opportunities for improvement. Users receive tailored feedback on their emotional intelligence profile, including strengths and weaknesses. The platform provides access to personalized training modules and resources designed to enhance specific aspects of emotional intelligence. This may include interactive exercises, video content, articles, and progress tracking tools.
[0029] Users can opt to compare their emotional intelligence profile with aggregated data from other users while ensuring privacy and anonymity, fostering a sense of community and motivation for self-improvement. The platform features an intuitive and user-friendly GUI that allows users to navigate seamlessly through their assessments, feedback, and learning materials. Visualization tools display the emotional intelligence metrics in an easily understandable format. By integrating multiple data sources, the platform provides a well-rounded assessment of emotional intelligence that goes beyond self-reporting.
[0030] The use of machine learning and data analysis techniques enhances objectivity in measuring emotional intelligence. The feedback and training resources are tailored to individual needs, making the platform effective for personal and professional development. The platform can be made accessible via web and mobile applications, allowing users to engage with the material at their convenience. A unique feature of the platform is its ability to incorporate feedback from peers, supervisors, and coaches. This multi-source feedback provides a holistic view of a user's emotional intelligence and helps identify discrepancies between self-perception and how others perceive the user's emotional responses.
[0031] Individuals seek to enhance their emotional intelligence for personal growth. Organizations aim to develop emotional intelligence skills among employees for improved teamwork and leadership. Educational institutions incorporate emotional intelligence training into curricula to foster social-emotional learning among students. Thus, the Emotional Intelligence Analysis Platform represents a significant advancement in the assessment and enhancement of emotional intelligence. By leveraging technology and data analysis, the platform addresses the limitations of traditional assessment methods and provides users with actionable insights and resources for personal and professional growth.
[0032] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will further be understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Further, references to "a method" or "an embodiment" throughout are not intended to mean the same method or same embodiment, unless the context clearly indicates otherwise.
[0033] It should it be understood that, in general, where the invention, or aspects of the invention, is/are referred to as comprising particular elements, features, etc., certain embodiments of the invention or aspects of the invention consist, or consist essentially of, such elements, features, etc. It is noted that the term "comprising" is intended to be open and permits the inclusion of additional elements or steps. Furthermore, it is to be understood that unless otherwise indicated or otherwise evident from the context and understanding of one of ordinary skill in the art, values that are expressed as ranges can assume any specific value or subrange within the stated ranges in different embodiments of the invention, to the tenth of the unit of the lower limit of the range, unless the context clearly dictates otherwise.
, Claims:We claim:
1. A method for analysing emotional intelligence of a user, comprising:
- receiving input data from the user, wherein the input data includes at least one of text, voice, facial expressions, and physiological signals;
- processing the input data using a machine learning algorithm to identify emotional states of the user;
- generating an emotional intelligence profile based on the comparison, wherein the profile includes assessments of emotional awareness, emotional regulation, and interpersonal skills.
2. The method of claim 1, wherein the machine learning algorithm employs natural language processing techniques to analyse sentiment in the text input data.
3. The method of claim 1, wherein the feedback provided to the user includes personalized training modules designed to enhance specific aspects of emotional intelligence.
4. The method of claim 1, comprising the step of visualizing the emotional intelligence profile using a graphical user interface, wherein the interface displays metrics related to emotional awareness, regulation, and interpersonal skills.
5. The method of claim 1, wherein a social comparison feature that allows the user to compare their emotional intelligence profile with aggregated data from other users.

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