Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to sustainable ecosystems, more specifically, relates to a sustainable entrepreneurship support system and method thereof based on machine learning technology.
BACKGROUND OF THE DISCLOSURE
[0002] Sustainable entrepreneurship refers to the practice of creating and managing businesses that prioritize long-term environmental, social, and economic sustainability. It focuses on developing innovative solutions that not only generate profit but also contribute positively to society and the planet. Sustainable entrepreneurs seek to minimize environmental harm, address social inequalities, and create value in ways that are ethical, responsible, and resilient. By fostering responsible practices and integrating sustainability into business models, sustainable entrepreneurship can create a positive ripple effect, promoting long-term prosperity, job creation, and a more equitable society, while helping tackle some of the world’s most pressing challenges like climate change, resource depletion, and poverty.
[0003] Addressing a sustainable entrepreneurship involves navigating a complex landscape of barriers that hinder the successful implementation and scaling of sustainable practices. These barriers range from financial constraints, where entrepreneurs and businesses struggle to secure adequate funding to support green and socially responsible initiatives, to technological limitations, which restrict the development and adoption of innovative, sustainable technologies and many more.
[0004] Traditional systems often faced several limitations that hindered their effectiveness in sustainable entrepreneurship. One key issue was the limited focus on sustainability, where many initiatives emphasized short-term economic gains over long-term environmental and social impacts, leading to inefficiencies and missed opportunities for systemic change. Additionally, there was a lack of scalability in many projects, where localized solutions struggled to expand and address broader global challenges, limiting their overall impact. Inequitable access to resources and opportunities further compounded the issue, with marginalized communities often excluded from the benefits of sustainable practices or technologies. Moreover, data and measurement challenges were prevalent, as there were no standardized metrics for tracking sustainability, making it difficult to assess the effectiveness of initiatives or demonstrate their true impact. These limitations created significant barriers in achieving a fully sustainable entrepreneurship, highlighting the need for more comprehensive, scalable, and inclusive approaches in the future.
[0005] The present invention addresses the limitations of the prior art by developing a sustainable entrepreneurship support system. The system integrates all key stakeholders and provides personalized support to meet entrepreneurial needs at different stages of business. The present invention also facilitates scalable solutions that are suitable for new and small entrepreneurs. It provides personalised support to address individual needs of an entrepreneur at the business stage. Also, it creates an accessibility on funding facilitates mentorship and training and provides resources to customers to expand market reach. Further, it helps businesses to adopt circular economy principles, such as resource efficiency, waste reductions, and product reuse. The present invention supports sustainable entrepreneurship that connects stakeholders to overcome from the barriers to enable sustainability to achieve a sustainable economy to promote sustainability through innovative collaborations, resource sharing, and principles of circular economy.
[0006] Thus, in light of the above-stated discussion, there exists a need for a sustainable entrepreneurship support system and method thereof.
SUMMARY OF THE DISCLOSURE
[0007] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0008] According to illustrative embodiments, the present disclosure focuses on a sustainable entrepreneurship support system and method thereof which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0009] An objective of the present disclosure is to create a sustainable entrepreneurship support system based on advanced technologies.
[0010] Another objective of the present disclosure is to develop a system that connects all stakeholders and enables seamless collaborations and shares knowledge.
[0011] Another objective of the present disclosure is to develop a sustainable entrepreneurship support system and method thereof which uses data analytics to identify trends, and tailor support services to identify the specific needs of entrepreneurs.
[0012] Another objective of the present disclosure is to create a system that provides provide personalized support to meet entrepreneurial needs at different stages of business.
[0013] Another objective of the present disclosure is to create an accessibility on funding, facilitates mentorship and training, and provides resources to customers to expand market reach using sustainable entrepreneurship support system.
[0014] Yet another objective of the present disclosure is to help businesses to adopt circular economy principles, such as resource efficiency, waste reductions, and product reuse.
[0015] In light of the above, in one aspect of the present disclosure, a sustainable entrepreneurship support system is disclosed herein. The system comprises a user interface of a user device configured to collect a user credential and entrepreneurial data through a structured questionnaire. The system includes a communication network configured to enable seamless data transmission within the system. The system also includes a processing unit connected to the user interface of the user device via the communication network and configured to identify barriers and generate recommendations, wherein the processing unit further comprises an input module configured to receive data from the user interface of the user device, a pre-processing module configured to filter irrelevant data and remove noise from the received data, a feature extraction module configured to extract key features from the data for further analysis, a barrier identification module configured to analyse the entrepreneurial data and identify the user encountering barriers, a recommendation module configured to recommend tailored suggestions addressing the identified entrepreneurial barriers, wherein the recommendation module further comprises a financial constraint model configured to provide a list of microfinance programs, investors, and funding platforms to address financial constraints, a technological limitation model configured to provide a list of technological expertise, partnerships and collaborations to address technological limitations, an institute-industry cooperation challenge model configured to provide a list of university incubators, research centres, and partnership programs to address institute-industry cooperation challenges, a socio-cultural constraint model configured to provide a list of cultural sensitivity training and community engagement programs to address socio-cultural constraints and a legislative barrier model configured to provide a list of legal advisory services and industry advocacy groups to address legislative barriers.
[0016] In one embodiment, the system further comprises a database configured to store the user credential, entrepreneurial data and the recommendations suggested by the system.
[0017] In one embodiment, the user credentialed data comprises username, password, multi-factor authentication tokens and combination thereof.
[0018] In one embodiment, the processing unit further comprises a training and testing module configured to split the data into training and testing datasets and train the machine learning models on training dataset.
[0019] In one embodiment, the processing unit further comprises an authentication module configured to analyse the authenticity of the user to grant access to the system.
[0020] In one embodiment, the identified barriers incorporate financial constraints, technological limitations, institute-industry cooperation challenges, socio-cultural constraints, and legislative barriers.
[0021] In one embodiment, the user interface of the user device displays the identified entrepreneurial barriers and the recommended tailored suggestions.
[0022] In one embodiment, the feature extraction module, the barriers identification module and the recommendation module utilise machine learning models to extract features, identify the entrepreneurial barriers and recommend tailored suggestions, respectively.
[0023] In light of the above, in one aspect of the present disclosure, A method for supporting sustainable entrepreneurship is disclosed herein. The method comprises collecting a user credential and entrepreneurial data through a structured questionnaire via a user interface of a user device. The method includes receiving data from the user interface of the user device via an input module. The method also includes filtering irrelevant data and removing noise from the received data via a pre-processing module. The method further includes extracting key features from the data for further analysis via a feature extraction module. furthermore, the method includes analysing the entrepreneurial data and identifying the user encountering barriers via a barrier identification module. in addition, the method includes recommending tailored suggestions addressing the identified entrepreneurial barriers via a recommendation module. Moreover, the method includes providing a list of microfinance programs, investors, and funding platforms to address financial constraints via a financial constraint model. Also, the method includes providing a list of technological expertise, partnerships and collaborations to address technological limitations via a technological limitation model. Furthermore, the method includes providing a list of university incubators, research centres, and partnership programs to address institute-industry cooperation challenges via an institute-industry cooperation challenge model. Additionally, the method includes providing a list of cultural sensitivity training and community engagement programs to address socio-cultural constraints via a socio-cultural constraint model. At last, the method includes providing a list of legal advisory services and industry advocacy groups to address legislative barriers via a legislative barrier model.
[0024] These and other advantages will be apparent from the present application of the embodiments described herein.
[0025] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0026] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0027] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0028] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0029] FIG. 1 illustrates a block diagram of a sustainable entrepreneurship support system, in accordance with an embodiment of the present disclosure; and
[0030] FIG. 2 illustrates a flow-chart of a method, outlining the sequential steps for supporting sustainable entrepreneurship, in accordance with an embodiment of the present disclosure.
[0031] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0032] The sustainable entrepreneurship support system and method thereof is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0033] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure.
[0034] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0035] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0036] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0037] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0038] Referring now to FIG. 1 to FIG. 2 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of a sustainable entrepreneurship support system 100, in accordance with an embodiment of the present disclosure.
[0039] The system 100 comprises a user interface 110 of a user device 102, a communication network 104, a processing unit 106 which further comprises an input module 112, a pre-processing module 114, a feature extraction module 118, a barrier identification 122, a recommendation module 124, which further comprises a financial constraint model 126, a technological limitation model 128, an institute-industry cooperation challenge model 130, a socio-cultural constraint model 132, a legislative barrier model 134.
[0040] The user interface 110 of the user device 102 configured to collect a user credential and entrepreneurial data through a structured questionnaire.
[0041] In one embodiment of the present invention, the user is a key stakeholder which may include an entrepreneur, investor, academic institution, government agency, accelerator and incubator.
[0042] In one embodiment of the present invention, the user device 102 may include smartphones, tablets, laptops, desktop and other handheld devices.
[0043] In one embodiment of the present invention, the user credentialed data comprises username, password, multi-factor authentication tokens and combination thereof.
[0044] In one embodiment of the present invention, the structured questionnaire may include a series of questions related to demographic information, business information, motivation and vision, financial and operational aspects, market, customers and so forth.
[0045] The communication network 104 configured to enable seamless data transmission within the system 100. It is responsible for transmitting data from the user device 102 to the processing unit 106. further, it facilitates the transmittance of suggest lists from the processing unit 106 to the user interface 110 of the user device 102 to enhance decision-making.
[0046] In one embodiment of the present invention, the communication network 104 may include wired and wireless networks.
[0047] In preferred embodiment of the present invention, the communication network 104 includes wireless networks.
[0048] The processing unit 106 connected to the user interface 110 of the user device 102 via the communication network 104 and configured to identify barriers and generate recommendations, wherein the processing unit 106 further comprises several modules.
[0049] The input module 112 configured to receive data from the user interface 110 of the user device 102. Data comprising credential and entrepreneurial data of the user.
[0050] The pre-processing module 114 configured to filter irrelevant data and remove noise from the received data. The data received by the input module 112 is cleaned and standardized. This step involves handling missing values and transforming data into a suitable format for analysis.
[0051] In one embodiment of the present invention, the processing unit 106 further comprises a training and testing module 116 configured to split the data into training and testing datasets and train the machine learning models on training dataset.
[0052] The feature extraction module 118 configured to extract key features from the data for further analysis. Key features are the meaningful features which are further analysed to drive insights. This step involves selecting the key feature from the data followed by extraction using machine learning models.
[0053] In one embodiment of the present invention, the extracted features are integrated into a comprehensive dataset that can be used for deeper analysis, reporting, or decision-making.
[0054] In one embodiment of the present invention, the system 100 further comprises a database 108 configured to store the user credential, entrepreneurial data and the recommendations suggested by the system 100.
[0055] In one embodiment of the present invention, the database 108 stores and manages all the data associated with the users. This ensures that all stakeholders are able to access up-to-date, accurate information from anywhere at any time, providing real-time insights to inform decisions and actions.
[0056] In one embodiment of the present invention, the processing unit 106 further comprises an authentication module 120 configured to analyse the authenticity of the user to grant access to the system 100. This module 106 verifies user identities and prevent unauthorised access to the system 100 and ensure data privacy.
[0057] The barrier identification module 122 configured to analyse the entrepreneurial data and identify the user encountering barriers. The barrier identification module 122 identifies the possible barriers faced by the user based on the business context and patterns.
[0058] In one embodiment of the present invention, the identified barriers incorporate financial constraints, technological limitations, institute-industry cooperation challenges, socio-cultural constraints, and legislative barriers.
[0059] In one embodiment of the present invention, the barrier identification module 122 utilises machine learning models to analyse the entrepreneurial data and identify the possible barriers. The extracted key features are compared and matched with pre-saved data in the database 108 to efficiently detect relevant constraints. The machine learning model is trained to recognize correlations between the extracted features and specific entrepreneurial challenges that allow the barrier identification module 122 to accurately identify potential barriers faced by the entrepreneur.
[0060] The recommendation module 124 configured to recommend tailored suggestions addressing the identified entrepreneurial barriers, wherein the recommendation module 124 further comprises the financial constraint model 126, the technological limitation model 128, the institute-industry cooperation challenge model 130, the socio-cultural constraint model 132, the legislative barrier model 134. This module 124 recommends the lists for each barrier encountered by the user using machine leaning models.
[0061] In one embodiment of the present invention, the recommendation module 124 uses machine learning models to suggest solutions by analysing the identified barriers. Once the barriers are recognized, they are compared with a database 108 containing effective strategies and resources that worked for similar situations. The machine learning model learns from historical data and outcomes to predict the most suitable recommendations, which are then tailored to the specific needs of the entrepreneur. The recommendation module 124 provides suggestions including funding options, mentorship, training and strategic approaches to ensure alignment with the entrepreneur’s current business stage and challenges.
[0062] The financial constraint model 126 configured to provide a list of microfinance programs, investors, and funding platforms to address financial constraints.
[0063] In one embodiment of the present invention, the lack of access to capital and funding is one of the primary obstacles for businesses and startups. Financial constraints limit the development of innovative solutions, hinder growth, and reduce competitiveness. The financial constraint model 126 aims to address this entrepreneurial barrier by connecting microfinance programs, investors, and funding platforms to provide capital to underserved individuals and businesses. Microfinance programs offer small loans and financial services, while investors provide capital for growth, and funding platforms facilitate access to these resources through digital means. This approach aims to promote financial inclusion and support economic development, especially in marginalized communities.
[0064] The technological limitation model 128 configured to provide a list of technological expertise, partnerships and collaborations to address technological limitations.
[0065] In one embodiment of the present invention, the limited access to and expertise in advanced technology hinder business operations, product development, and innovation. The technological limitation model 128 leverages expertise, partnerships, and collaborations. It connects specialized knowledge, resources, and networks to develop innovative solutions and bridge gaps in technology.
[0066] The institute-industry cooperation challenge model 130 configured to provide a list of university incubators, research centres, and partnership programs to address institute-industry cooperation challenges.
[0067] In one embodiment of the present invention, the lack of collaboration between academic institutions and industries slow down innovation and prevent the commercialization of research and advanced technologies. This disconnect often leads to missed opportunities in both academia and business. The institute-industry cooperation challenge model 130 addresses this entrepreneurial barrier by identifying university incubators, research centres, and partnership programs which foster innovation and knowledge exchange, helping bridge the gap between academic research and industry needs. University incubators support startups, research centres promote joint research efforts, and partnership programs enable skill development and mutual growth, ultimately driving practical solutions to industry challenges.
[0068] The socio-cultural constraint model 132 configured to provide a list of cultural sensitivity training and community engagement programs to address socio-cultural constraints.
[0069] In one embodiment of the present invention, the social and cultural barriers such as rigid traditions, limited social acceptance of new business models, and resistance to innovation cylinder stifle entrepreneurial initiatives. The socio-cultural constraint model 132 addresses socio-cultural challenges by offering cultural sensitivity training and community engagement programs. These initiatives aim to enhance understanding and respect for diverse cultures, fostering inclusivity and improving interactions across different communities.
[0070] The legislative barrier model 134 configured to provide a list of legal advisory services and industry advocacy groups to address legislative barriers.
[0071] In one embodiment of the present invention, in many regions, the regulatory environment does not support emerging business models, particularly those focused on sustainability or innovation. To address these legal challenges, the legislative barrier model 134 offers legal advisory services and support from industry advocacy groups. These resources help organizations navigate regulations, ensure compliance, and advocate for policy changes to overcome legislative barriers and promote growth.
[0072] In one embodiment of the present invention, the feature extraction module 128, the barriers identification module 122 and the recommendation module 124 utilise machine learning models to extract features, identify the entrepreneurial barriers and recommend tailored suggestions, respectively.
[0073] In one embodiment of the present invention, the machine leaning models may include random forest, decision trees, logistic regression, support vector machines (SVM), neural networks, reinforcement learning and matrix factorization.
[0074] In one embodiment of the present invention, the feature extraction module 128, the barriers identification module 122 and the recommendation module 124 utilises machine leaning models. The extracted features are compared and match with the pre-saved data in the database 108 to efficiently detect patterns and recognise correlations. This allows accurate identification of specific challenges faced by the entrepreneur, helping tailor recommendations to address those barriers effectively.
[0075] In one embodiment of the present invention, the user interface 110 of the user device 102 displays the identified entrepreneurial barriers and the recommended tailored suggestions.
[0076] In an exemplary embodiment of the present invention, the recommendation module recommends holistic approaches to overcome barriers such as financial constraints, technological limitations, institute-industry cooperation challenges, socio-cultural constraints, and legislative barriers to be addressed via entrepreneurship such as academic, green, and social entrepreneurship along with SMEs, MSMEs, and circular economy.
[0077] FIG. 2 illustrates a flow-chart of a method 200, outlining the sequential steps for supporting sustainable entrepreneurship, in accordance with an embodiment of the present disclosure.
[0078] At step 202, a user credential and entrepreneurial data is collected through a structured questionnaire via the user interface 110 of the user device 112.
[0079] At step 204, data is received from the user interface 110 of the user device 102 via the input module 112.
[0080] At step 206, filter irrelevant data and removing noise from the received data via the pre-processing module 114.
[0081] At step 208, key features are extracted from the data for further analysis via the feature extraction module 118.
[0082] At step 210, the entrepreneurial data is analysed and the user encountering barriers are identified via the barrier identification module 122.
[0083] At step 212, tailored suggestions are recommended via the recommendation module 124 to address the identified entrepreneurial barriers.
[0084] At step 214, a list of microfinance programs, investors, and funding platforms is provided via the financial constraint model 126 to address financial constraints.
[0085] At step 216, a list of technological expertise, partnerships and collaborations is provided via the technological limitation model 128 to address technological limitations.
[0086] At step 218, a list of university incubators, research centres, and partnership programs is provided via the institute-industry cooperation challenge model 130 to address institute-industry cooperation challenges.
[0087] At step 220, a list of cultural sensitivity training and community engagement programs is provided via the socio-cultural constraint model 132 to address socio-cultural constraints.
[0088] At step 222, a list of legal advisory services and industry advocacy groups is provided to address legislative barriers via the legislative barrier model 134.
[0089] The sustainable entrepreneurship support system 100 integrates the user interface 100 of the user device 102 that collects user credentials and entrepreneurial data, which is transmitted to the processing unit 106 via the communication network 104 for processing. The input module 112 receives the data. irrelevant data and noise are removed from the received data via the pre-processing module 114 is further splits into training and testing datasets for machine learning model training via the training and testing module 116. Additionally, the key features extraction module 118 extracts key features for analysis using machine learning models. User authenticity is verified through the authentication module 120 and entrepreneurial barriers are identified by a dedicated analysis performed by the barrier identification module 122. Moreover, the recommendation module 124 then provides tailored suggestions which further includes various models to address specific challenges. The financial constraint model 126 offering a list of microfinance programs and funding platforms. Further, the technological limitation model 128 providing a list of technological expertise and partnerships. Additionally, the institute-industry cooperation challenge model 130 to provide a list of university incubators, research centres, and partnership programs. The socio-cultural constraint model 132 recommending a list of cultural sensitivity training and community engagement. Also, the legislative barrier model 134 provides a list of legal advisory and advocacy resources. The identified barriers and recommendations are displayed on the user interface 110 of the user device 102 to help entrepreneurs navigate and overcome key barriers to success.
[0090] The sustainable entrepreneurship support system 100 leverages advanced data processing and machine learning to create an integrated system that connects all stakeholders including entrepreneurs, investors, academic institutions, government agencies, and accelerators to enable seamless collaborations and knowledge sharing. The system 100 provides personalized assistance based on the entrepreneur's business stage, ensuring that support is relevant and impactful. It enhances accessibility to funding, facilitates mentorship and training, and offers resources to help expand market reach. Additionally, it promotes the adoption of circular economy principles, such as resource efficiency and supporting sustainable business practices. This system 100 is essential for fostering entrepreneurship by addressing individual needs, improving operational efficiency, and facilitating sustainable growth in an increasingly interconnected and resource-conscious business environment.
[0091] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims. A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0092] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0093] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A sustainable entrepreneurship support system (100), the system (100) comprising:
a user interface (110) of a user device (102) configured to collect a user credential and entrepreneurial data through a structured questionnaire;
a communication network (104) configured to enable seamless data transmission within the system (100);
a processing unit (106) connected to the user interface (110) of the user device (102) via the communication network (104) and configured to identify barriers and generate recommendations, wherein the processing unit (106) further comprises:
an input module (112) configured to receive data from the user interface (110) of the user device (102);
a pre-processing module (114) configured to filter irrelevant data and remove noise from the received data;
a feature extraction module (118) configured to extract key features from the data for further analysis;
a barrier identification module (122) configured to analyse the entrepreneurial data and identify the user encountering barriers;
a recommendation module (124) configured to recommend tailored suggestions addressing the identified entrepreneurial barriers, wherein the recommendation module (124) further comprises:
a financial constraint model (126) configured to provide a list of microfinance programs, investors, and funding platforms to address financial constraints;
a technological limitation model (128) configured to provide a list of technological expertise, partnerships and collaborations to address technological limitations;
an institute-industry cooperation challenge model (130) configured to provide a list of university incubators, research centres, and partnership programs to address institute-industry cooperation challenges;
a socio-cultural constraint model (132) configured to provide a list of cultural sensitivity training and community engagement programs to address socio-cultural constraints; and
a legislative barrier model (134) configured to provide a list of legal advisory services and industry advocacy groups to address legislative barriers.
2. The system (100) as claimed in claim 1, wherein the system (100) further comprises a database (108) configured to store the user credential, entrepreneurial data and the recommendations suggested by the system (100).
3. The system (100) as claimed in claim 1, wherein the user credentialed data comprises username, password, multi-factor authentication tokens and combination thereof.
4. The system (100) as claimed in claim 1, wherein the processing unit (106) further comprises a training and testing module (116) configured to split the data into training and testing datasets and train the machine learning models on training dataset.
5. The system (100) as claimed in claim 1, wherein the processing unit (106) further comprises an authentication module (120) configured to analyse the authenticity of the user to grant access to the system (100).
6. The system (100) as claimed in claim 1, wherein the identified barriers incorporate financial constraints, technological limitations, institute-industry cooperation challenges, socio-cultural constraints, and legislative barriers.
7. The system (100) as claimed in claim 1, wherein the user interface (110) of the user device (102) displays the identified entrepreneurial barriers and the recommended tailored suggestions.
8. The system (100) as claimed in claim 1, wherein the feature extraction module (128), the barriers identification module (122) and the recommendation module (124) utilise machine learning models to extract features, identify the entrepreneurial barriers and recommend tailored suggestions, respectively.
9. A method (200) for supporting sustainable entrepreneurship, the method (200) comprising:
collecting a user credential and entrepreneurial data through a structured questionnaire via a user interface (110) of a user device (112);
receiving data from the user interface (110) of the user device (102) via an input module (112);
filtering irrelevant data and removing noise from the received data via a pre-processing module (114);
extracting key features from the data for further analysis via a feature extraction module (118);
analysing the entrepreneurial data and identifying the user encountering barriers via a barrier identification module (122);
recommending tailored suggestions addressing the identified entrepreneurial barriers via a recommendation module (124);
providing a list of microfinance programs, investors, and funding platforms to address financial constraints via a financial constraint model (126);
providing a list of technological expertise, partnerships and collaborations to address technological limitations via a technological limitation model (128);
providing a list of university incubators, research centres, and partnership programs to address institute-industry cooperation challenges via an institute-industry cooperation challenge model (130);
providing a list of cultural sensitivity training and community engagement programs to address socio-cultural constraints via a socio-cultural constraint model (132); and
providing a list of legal advisory services and industry advocacy groups to address legislative barriers via a legislative barrier model (134).