Description:SYSTEM FOR WEB NAVIGATION AND RELAY INTERACTION
FIELD OF THE INVENTION
[0001] This invention generally relates to a field of web browsing and, in particular relates to a system and method for web navigation and relay interaction.

BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The method of navigating the web often involves sequentially browsing through multiple webpages, locating relevant content, and interacting with specific sections of interest. This process is usually time-consuming and cognitively demanding, especially when users need to retrieve information across various platforms. Further, traditional web browsing methods may require users to memorize multiple links or pathways, leading to inefficiencies and potential navigation errors. Additionally, the manual nature of the process makes the process challenging for users to interact with complex web systems efficiently, particularly in scenarios involving multiple webpages or platforms. Therefore, while traditional web browsing is functional, the traditional web browsing is prone to inefficiencies and lacks mechanisms for optimized interaction.
[0004] Furthermore, the conventionally available web navigation tools, such as bookmarks or search engines, though faster than manual browsing, have their own limitations. For instance, bookmarks are static and require manual organization, making them less suitable for dynamic content. Search engines, while powerful, rely on keyword inputs and may return irrelevant results or fail to capture contextual nuances. Additionally, users often encounter challenges when transitioning between multiple platforms, as there is no unified mechanism to streamline web navigation or enable efficient relay interactions. These shortcomings disrupt workflows, reduce productivity, and hinder user experience.
[0005] According to a patent application “ US11646022B2” titled “Electronic device for chatting with chatbot and operation method thereof” discloses a first electronic device including a user interface and a communication circuit; at least one processor which is a part of the first electronic device or remotely communicates with the first electronic device; and at least one memory residing in the first electronic device or residing outside the first electronic device. The at least one memory may store instructions causing, when executed while being operatively connected to the processor, the at least one processor to: receive a first user request related to calling a chatbot in a character and/or voice-based chat, through the user interface; cause the chatbot to join the chat; receive a second user request for a task for the chatbot through the user interface, wherein the second user request does not include at least a part of information required to perform the task, and the at least a part of the information is stored in the at least one memory; receive a user authentication for sharing the at least a part of the information, through the user interface; and provide the at least a part of the information to the chatbot..
[0006] According to a patent application “US10757044B2” titled “Chatbot system” discloses a parent chatbot and a plurality of sub-chatbots. Each sub-chatbot is associated with a specific domain. The parent chatbot is adapted to receive a user query and direct the user query to a relevant sub-chatbot. Each sub-chatbot includes at least one chatbot dialog, and is adapted to respond to the user query using the at least one chatbot dialog. Each sub-chatbot is implemented by a program entity adapted to return a return function. The return function is a function configured to accept a context object unique to the sub-chatbot as an input argument. The at least one chatbot dialog is accessed by at least one access function. The access function is a function configured to accept the context object of the sub-chatbot.
[0007] However, the conventionally known web navigation tools and automated interaction systems have several drawbacks. For example, existing systems often lack real-time adaptability to user behaviour or context, limiting the effectiveness during web browsing. Further, the conventional systems typically focus on specific functionalities, such as content retrieval or automation, without providing an integrated solution for web navigation and interaction.
OBJECTIVES OF THE INVENTION
[0008] The objective of invention is to provide a system for web navigation and relay interaction based on natural language processing.
[0009] The objective of invention is to provide a method for web navigation and relay interaction based on natural language processing.
[0010] Furthermore, the objective of present invention is to integrate web crawling, natural language processing and machine learning for web navigation.
[0011] Furthermore, the objective of present invention is to provide the system for web navigation and relay interaction that enables adaptive learning to improve suggestions for web navigation.
[0012] Furthermore, the objective of present invention is to provide the system for web navigation and relay interaction that is real-time adaptable and time efficient.

SUMMARY
[0014] According to an aspect, the present embodiments disclose a system for web navigation and relay interaction. Further, the system comprises a use platform configured to input one or more query related to the one or more web platform, a database communicatively coupled to the user interface to store data related to the one or more web platforms browsed on the user interface, a memory communicatively coupled to the user interface to store the one or more more query input and at least one processor coupled to the user interface. Further, the at least one processor is configured to determine one or more keywords from the one or more query input on the user interface, compare the one or more keywords with the data related to one or more web platforms stored in the database, determine at least one information from the data stored on the database matching with the one or more keywords and display the at least one information determined on the user interface.
[0015] According to an aspect, the one or more query includes at least one information of the one or more web platforms. Further, the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms. Further, the user interface includes a web crawler module configured to scan the plurality of sections or webpages of the one or more web platforms and generate the data related to one or more web platforms. Further, a natural language processing (NLP) module is installed in the user interface and coupled to the at least one processor to determine the one or keywords. Further, the one or more keywords correspond to at least one natural language word present in the plurality of sections or webpages of at least one of the one or more platforms. Further, the memory is configured to store the one or more information determined by the at least one processor with respect to the one or more more query input.
[0016] According to an aspect, the present embodiments a method for web navigation and relay interaction is disclosed. Further, the method comprises inputting, via a user interface, one or more query related to the one or more web platforms, determining, via at least one processor, one or more keywords from the the one or more query input, comparing, via the at least one processor, the one or more keywords with the data related to one or more web platforms, determining, via the at least one processor, at least one information from the data related to one or more web platforms and displaying, via the at least one processor, the at least one information determined, on the user interface. Further, the method comprises storing, in a database coupled to the user interface, the data related to the one or more web platforms browsed on the user interface. Further. The method comprises storing, in a memory communicatively coupled to the user interface, the one or more query input.

BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The accompanying drawings illustrate various embodiments of systems, methods, and embodiments of various other aspects of the invention. Any person with ordinary skills in the art will appreciate that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes) in the figures represent one example of the boundaries. It may be that in some examples one element may be designed as multiple elements or that multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another, and vice versa. Furthermore, elements may not be drawn to scale. Non-limiting and non-exhaustive descriptions are described with reference to the following drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating principles.
[0018] FIG. 1 illustrates a block diagram of a system for web navigation and relay interaction, according to an embodiment of the present invention;
[0019] FIG 2 illustrates a flowchart of the system for web navigation and relay interaction, according to an embodiment of the present invention;
[0020] FIG. 3 illustrates an architecture diagram of the system for web navigation and relay interaction, according to an embodiment of the present invention;
[0021] FIG. 4 illustrates a detailed flowchart of the system for web navigation and relay interaction, according to an embodiment of the present invention; and
[0022] FIG. 5 illustrates a flowchart of a method for operating the system for web navigation and relay interaction, according to an embodiment of the present invention.

DETAILED DESCRIPTION
[0024] Some embodiments of this invention, illustrating all its features, will now be discussed in detail. The words “comprising,” “having,” “containing,” and “including,” and other forms thereof, are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise.
[0025] Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present invention, the preferred, systems and methods are now described. Embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings in which like numerals represent like elements throughout the several figures, and in which example embodiments are shown. Embodiments of the claims may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. The examples set forth herein are non-limiting examples and are merely examples among other possible examples.
[0026] The present invention discloses about a system for web navigation and relay interaction based on natural language processing for providing ranked suggestions to a user while browsing the web.
[0027] FIG. 1 illustrates a block diagram of a system (100) for web navigation and relay interaction, according to an embodiment of the present invention.
[0028] In some embodiments, the system (100) comprises a user interface (102). Further, the system (100) comprises a database (104), a memory (106) and at least one processor (108).
[0029] In one embodiment, the user interface (102) is installed in a computing unit (110). In an example, the computing unit (110) may include a mobile, a tablet, a laptop, a portable desktop or alike. The computing unit (110) may be accessed by a user to perform one or more operations. Further, the one or more operations may comprise at least one of providing a medium to input data/information, communicating with one or more other external devices, an image display, and providing various outputs.
[0030] Further, the user interface (102) may correspond to at least one of a graphical user interface (GUI), a command-line interface (CLI), application programming interface (API). In at least one example, the user interface (102) may comprise a homepage, one or more redirection pages and one or more tabs linked with the homepage.
[0031] Further, the user interface (102) may comprise a homepage that is accessed by the user to enter login credentials. Further, the user interface (102) may facilitate a creation or registration of accounts, login processes, and updates of personal information. Further, the at least one processor (108) configured to fetch and compare the login credentials with a plurality of user profiles stored in a database (104) to verify authenticity of the user.
[0032] In some embodiments, the user may access the user interface (102) to input one or more query related to the one or more web platforms. In an example, the one or more web platforms may be websites, webpages or alike. In some embodiments, the one or more web platforms may include a pop-up dialogue box that appears at one or more edge of screen of the computing unit (110). In an example, the user may click on a text bar of the pop-up dialogue box to input one or more query related to the one or more web platforms. In some embodiments, the one or more query includes at least one information of the one or more web platforms. In an example, while browsing website of a University, the user input input the one or more query as ‘When are graduation admission open?’. In some embodiments, the one or more input query is stored in the memory (106).
[0033] In some embodiments, the system (100) may include the database (104) coupled to the user interface (102). In some embodiments, the database (104) is configured to store data related to the one or more web platforms browsed on the user interface (102). In an example, the database (104) may store the data related to the University. In an example the data may include data of opening applications, number of departments, number of faculty, number of students, courses taught, fee structure, syllabus or alike related to operations of the University.
[0034] In some embodiments, the user interface (102) includes a web crawler module configured to scan plurality of sections or webpages of the one or more web platforms and generate the data related to one or more web platforms. In some embodiments, the web crawler may use plurality of Python based protocols along with libraries such as ‘BeautifulSoup’ and ‘requests’. In an example, the plurality of sections or webpages include information regarding date of opening applications, number of departments, number of faculty, number of students, courses taught, fee structure, syllabus or alike related to operations of the University that is stored as the data in the database (104).
[0035] In some embodiments, the user interface (102) is installed with a natural language processing (NLP) module. The NLP module scans the natural language words on the plurality of sections or webpages of the one or more web platform. Further, the NLP module scans the one or more query. In an example, in the one or more query as ‘When are graduation admission open?’, the words ‘when’, ‘are’, ‘graduation’, ‘admission’ and ‘open’ are the natural language words, that are identified by the NLP module and stored in the memory (106).
[0036] In some embodiments, the user interface (102) is coupled with at least one processor (108). In some embodiments, the at least one processor (108) may determine one or more keywords from the one or more query input on the user interface (102). In some embodiments, the one or more keywords may be identified by the NLP module. In an example, the NLP module may process the one or more query e.g. ‘When are graduation admission open?’ and identify ‘graduation’, ‘admission’ and ‘open’ as the one or more keywords. The at least one processor (108) may determine that the user wants to know information about admission in graduation course of the University and related timeline.
[0037] In some embodiments, the at least one processor (108) may compare the one or more keywords with the data related to one or more web platforms stored in the database (104). In some embodiments, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms. In some embodiments, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms which may be stored as the data in the database (104). Thus, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words of the data stored in the database (104).
[0038] In some embodiments, the at least one processor (108) may determine at least one information from the data stored on the database (104) matching with the one or more keywords. In some embodiments, the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms. In some embodiments, the the one or more keywords correspond to at least one natural language word present in the plurality of sections or webpages of at least one of the one or more web platforms. In some embodiments, the machine learning protocols enable the at least one processor (108) to identify the at least one information from the data stored in the database (104), wherein the one or more keywords from the one or more query match with the one or more keywords (e.g., natural language words as text) of at least one of the one or more web platforms.
[0039] In an example, the at least one processor (108) may match the one or kore keyword e.g., ‘graduation admission’ with the natural language words as text e.g., ‘ADMISSIONS’ in one of the plurality of webpages of the website of the University. Once the one or more keywords are matched, the at least one processor (108) displays the at least one information determined on the user interface (102). In some embodiments, the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms. In an example, the at least one processor (108) may display a clickable link of the webpage of ‘ADMISSIONS’ on the user interface (102). The user may click on the clickable link of the webpage of ‘ADMISSIONS’ and read about the graduation admission timeline as submitted in the one or more query.
[0040] FIG 2 illustrates a flowchart (200) of the system (100) for web navigation and relay interaction, according to an embodiment of the present invention. FIG. 3 illustrates an architecture diagram (300) of the system (100) for web navigation and relay interaction, according to an embodiment of the present invention. FIGS. 2-3 are described in conjunction with FIG.1.
[0041] At operation 202 and operation 204, the at least one processor (108) may receive the input from a user through the user interface (102) installed within the computing unit (110). The input may be one or more query related to the one or more web platforms. In an example, the one or more query may a question related to an online shopping website. The user may input the one or more query in the text bar of the pop-up dialogue box that appears at edge of the screen of the computing unit (110) that displays the online shopping website. In an example the one or more query may be “What is the cost of Nike Shoes”.
[0042] At operation 206, the at least one processor (108) may determine one or more keywords from the one or more query input on the user interface (102). In some embodiments, the user interface (102) is installed with a natural language processing (NLP) module. The NLP module scans the one or more query. In an example, in the one or more query as ‘What is the cost of Nike Shoes?’, the words ‘what, ‘cost, ‘Nike, ‘shoes’ are the natural language words, that are identified by the NLP module and stored in the memory (106). In some embodiments, the natural language words as the one or more keywords may be identified by the NLP module. Thus, the at least one processor (108) may determine that the user wants to know cost of Nike shoes.
[0043] At operation 208, the at least one processor (108) may compare the one or more keywords with the data related to one or more web platforms stored in the database (104). In some embodiments, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms.
[0044] At operation 210, an instance the at least one processor (108) may determine at least one information from the data stored on the database (104) matching with the one or more keywords. In some embodiments, the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms. In an example, the at least one processor (108) may determine a webpage named “SHOES” with the section “NIKE” on the online shopping website matching with the one or more keywords ‘Nike, ‘shoes’ of the one or more query input by the user.
[0045] At operation 212, the at least one processor (108) may fetch a clickable link of the webpage named “SHOES” with the section “NIKE” and display the clickable link on the pop-up dialogue box. The user may click on the clickable link of the and know about the cost of Nike shoes available on the shopping website.
[0046] At operation 214, an instance the at least one processor (108) may not determine at least one information from the data stored on the database (104) matching with the one or more keywords, then the at least one processor (108) may display one or more relay response on the pop-up dialogue box. In an example, the at least one processor (108) may display “Did you mean shoes of Nike brand?” on the pop-up dialogue box. The user may clarify by responding in the text bar of the pop-up dialogue box to further refine the web navigation.
[0047] At operation 216, operation 218 and operation 220, the one or more information determined by the at least one processor (108) with respect to the one or more more query input is stored in the memory (106). In some embodiments, the at least one processor (108) may use the one or more information stored in the memory (106) for real-time adaptive learning.
[0048] In some embodiments, the user interface (102) may be updated by an admin (as shown in FIG. 3). The admin may configure settings of the pop-up dialogue box. The admin may view user analytics and update content of the one or more web platforms. The updated content of the one or more web platforms enables refined search around the one or more query for the web navigation and generating the relay response for the user. Other than inputting the one or more query, the user may provide feedback or request clarification while browsing the one or more web platforms (shown in FIG. 3).
[0049] FIG. 4 illustrates a detailed flowchart (400) of the system (100) for web navigation and relay interaction, according to an embodiment of the present invention.
[0050] In some embodiments, the system (100) includes the user interface (102). The user interface (102) is configured to receive the one or more query. The user accesses the user interface (102) over a computing unit (110) and input the one or more query. In some embodiments, the NLP (Natural Language Processing) module (402) scans the one or more query to determine the one or more keywords from the one or more query input on the user interface (102).
[0051] In some embodiments, the at least one processor (108) may employ the machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms. In some embodiments, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms which may be stored as the data in the database (104).
[0052] In some embodiments, the user interface (102) includes a web crawler (408) module configured to scan the plurality of sections or webpages of the one or more web platforms and generate the data related to one or more web platforms. In some embodiments the web crawler (408) may extract the data from the one or more web platforms and store the data in the database (104). Further, the at least one processor (108) via update mechanism (406) may check for changes or variations in the data of the one or more web platforms and update the database (104) as well as the user interface (102) accordingly. Further, the at least one processor (108) may store other one or more keywords in the database (104). In some embodiments, the at least one processor (108) may employ keyword extractor (410) to determine the one or more keywords from the plurality of sections or webpages of the one or more web platforms.
[0053] In some embodiments, the at least one processor (108) may determine at least one information from the data stored on the database (104) matching with the one or more keywords. In some embodiments, the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms. In some embodiments, the machine learning protocols enable the at least one processor (108) to identify the at least one information from the data stored in the database, wherein the one or more keywords from the one or more query match with the one or more keywords (e.g., natural language words as text) of at least one of the one or more web platforms
[0054] In some embodiments, the at least one processor (108) may record the log interactions in learning module (404). The learning module may improve the machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms, which further helps in refining search of the database (104).
[0055] FIG. 5 illustrates a flowchart of a method (500) for operating the system (100) for web navigation and relay interaction, according to an embodiment of the present invention.
[0056] At operation 502, a user may input one or more query related to one or more platforms on the user interface (102). In some embodiments, the input may be one or more query related to the one or more web platforms. In an example, the one or more query may be a question related to a travel booking website. In an example, the one or more query may be “What are the available flights to New York?”
[0057] At operation 504, at least one processor (108) may determine one or more keywords from the one or more query input. In some embodiments, the user interface (102) is installed with a natural language processing (NLP) module. The NLP module scans the one or more query. In an example, in the one or more query as ‘What are the available flights to New York?’, the words ‘what,’ ‘available,’ ‘flights,’ and ‘New York’ are the natural language words identified by the NLP module and stored in the memory (106). In some embodiments, the natural language words as the one or more keywords may be identified by the NLP module. Thus, the at least one processor (108) may determine that the user wants to know about flights to New York.
[0058] At operation 506, the at least one processor (108) may compare the one or more keywords with data related to one or more web platforms, herein the data may be stored in a database (104). In some embodiments, the at least one processor (108) may employ machine learning protocols to compare the one or more keywords with the natural language words in the plurality of sections or webpages of the one or more web platforms. In an example, the at least one processor (108) using the machine learning protocols may scan the data stored in the database (104) to determine at least one information available on the one or more web platform that matches with the one or more keywords determined from the one or more query.
[0059] At operation 508, the at least one processor (108) may determine the at least one information from the data related to the one or more web platforms. In some embodiments, the at least one information includes navigation between a plurality of sections or webpages of at least one of the one or more web platforms. In an example, the at least one processor (108) may determine a webpage named “FLIGHTS” with the section “NEW YORK” on the travel booking website matching the one or more keywords ‘flights,’ ‘New York’ of the one or more query input by the user.
[0060] At operation 510, the at least one processor (108) may display the at least one information determined, on the user interface (102). In some embodiments, the at least one processor (108) may fetch a clickable link of the webpage named “FLIGHTS” with the section “NEW YORK” and display the clickable link on the user interface (102). The user may click on the clickable link to view and book flights available for New York on the travel booking website.
[0061] It has thus been seen that the d system (100) for web navigation and relay interaction, as described. The system (100) for web navigation and relay interaction in any case could undergo numerous modifications and variants, all of which are covered by the same innovative concept; moreover, all of the details can be replaced by technically equivalent elements. In practice, the components used, as well as the numbers, shapes, and sizes of the components can be whatever according to the technical requirements. The scope of protection of the invention is therefore defined by the attached claims.

Dated this 27th day of November, 2024
Ishita Rustagi (IN-PA/4097)
Agent for Applicant
, C , Claims:CLAIMS
We Claim:
1. A system (100) for web navigation and relay interaction, the system (100) comprises:
a user interface (102) configured to input one or more query related to the one or more web platforms;
a database (104) communicatively coupled to the user interface (102), wherein the database (104) is configured to store data related to the one or more web platforms browsed on the user interface (102);
a memory (106) communicatively coupled to the user interface (102), wherein the memory (106) is configured to store the one or more more query input; and
at least one processor (108) coupled to the user interface (102), wherein the at least one processor (108) is configured to:
determine one or more keywords from the one or more query input on the user interface (102);
compare the one or more keywords with the data related to one or more web platforms stored in the database (104);
determine at least one information from the data stored on the database (104) matching with the one or more keywords; and
display the at least one information determined on the user interface (102).

2. The system (100) as claimed in claim 1, wherein the one or more query includes at least one information of the one or more web platforms.

3. The system (100) as claimed in claim 2, wherein the at least one information includes navigation between plurality of sections or webpages of at least one of the one or more web platforms.

4. The system (100) as claimed in claim 3, wherein the user interface (102) includes a web crawler module configured to scan the plurality of sections or webpages of the one or more web platforms and generate the data related to one or more web platforms.

5. The system (100) as claimed in claim 1, further includes a natural language processing (NLP) module installed in the user interface (102) and coupled to the at least one processor (108), wherein the NLP module is configured to determine the one or keywords.

6. The system (100) as claimed in claim 3, wherein the one or more keywords correspond to at least one natural language word present in the plurality of sections or webpages of at least one of the one or more web platforms.

7. The system (100) as claimed in claim 1, wherein the memory (106) is further configured to store the one or more information determined by the at least one processor (108) with respect to the one or more more query input.

8. A method for web navigation and relay interaction, the method comprising:
inputting, via a user interface (102), one or more query related to the one or more web platforms;
determining, via at least one processor (108), one or more keywords from the the one or more query input;
comparing, via the at least one processor (108), the one or more keywords with a data related to one or more web platforms, wherein the data is stored in a database (104);
determining, via the at least one processor (108), at least one information from the data related to one or more web platforms; and
displaying, via the at least one processor (108), the at least one information determined, on the user interface (102).

9. The method as claimed in claim 8, further comprising storing, in a database (104) coupled to the user interface (102), the data related to the one or more web platforms browsed on the user interface (102).

10. The method as claimed in claim 8, further comprising storing, in a memory (106) communicatively coupled to the user interface (102), the one or more query input.

Dated this 27th day of November, 2024
Ishita Rustagi (IN-PA/4097)
Agent for Applicant