Description:Title of The Invention
Machine Learning Based System for Analyzing and Fault Detection in GST Bill
Field of the Invention
This invention relates to machine learning based system for analyzing and fault detection in GST bill
Background of the Invention
CN102446264A: This invention relates to a method and system for recognizing a special value-added tax invoice using a matrix type two-dimensional code image. The method involves processing the invoice content to create a character string and then creating a matrix type two-dimensional code using four printing points to represent each binary "1" module. This code is then printed on the special value-added tax invoice along with the content information. When the invoice is scanned, the matrix type two-dimensional code images are extracted and decoded to output the decoding data information. This invention allows for efficient and accurate recognition of the special value-added tax invoice without the need for punching the invoice, and can also be used to recognize multiple two-dimensional code images on a file paper surface with high efficiency.
US8606665B1: This invention pertains to an automated system and method that acquires tax data and imports it into tax preparation software. The process involves electronically acquiring tax documents via scanning, faxing, or emailing, and using optical character recognition (OCR) software to extract tax data from the electronic document. The extracted tax data is then imported into tax preparation software, which can be used to complete a tax return. This automation reduces the time and effort required for tax professionals to manually enter tax data into the software, thus minimizing the risk of data entry errors. By minimizing the amount of time spent on data entry, tax professionals can focus on preparing tax returns more efficiently.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is features customer support as part of its functionality, enhancing user experience and scans and performs comprehensive checks to validate the entire bill, ensuring accuracy and minimizing the risk of errors.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Customers dining at restaurants and shopping malls encounter additional charges on their bills, such as service charges and GST. While it is common for restaurants to charge these fees but there are certain circumstances under which they are not allowed to do so. Customers should be aware of these circumstances to ensure that they are not overcharged by restaurants.
Service charges are fees that some restaurants add to the bill to cover the cost of table service. These charges are typically around 10% of the total bill and are at the discretion of the restaurant. While customers are not legally required to pay service charges, it is customary to do so.
On the other hand, GST (Goods and Services Tax) is a tax that is levied by the government on the supply of goods and services. Restaurants that meet certain criteria are required to charge GST on their sales. However, there are some cases in which restaurants are not allowed to charge GST:
No GST number mentioned on the bill: If a restaurant does not have a GST number, they cannot charge GST on their sales. Customers should check their bills to ensure that the restaurant has included their GST number.
Invalid GST number on bill: If a restaurant has an invalid GST number, they cannot charge GST on their sales. Customers should check their bills to ensure that the restaurant's GST number is valid.
GSTIN/UIN status should be active: If a restaurant's GSTIN/UIN status is inactive, they cannot charge GST on their sales. Customers should check their bills to ensure that the restaurant's GSTIN/UIN status is active.
Business/restaurant should not be composite type: If a restaurant is classified as a composite type, they cannot charge GST on their sales. Customers should check the restaurant's classification to ensure that they are not being overcharged.
No GST on alcohol: Restaurants are not allowed to charge GST on alcohol sales. Customers should check their bills to ensure that the restaurant has not charged them GST on their alcohol purchases.
In summary, customers should be aware of their rights when it comes to service charges and GST at restaurants. They should check their bills for accuracy and ensure that restaurants are not overcharging them. If customers believe that they have been overcharged, they should raise the issue with the restaurant's management or with the relevant authorities.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
As shown in Figure.1, The process begins with the camera module (11), which captures an image of the bill and sends it to the computing unit (10). The computing unit (10) then processes the image with the help of a pre-trained machine learning model (12) and image processing technologies, converting it into a digital format.
The co-processor unit (14) works in conjunction with the computing unit (10) to check various conditions, including whether the GST is active or not, whether the GSTIN/UIN status is active or expired, the type of GST number, and whether the items on the bill are covered under the GST scheme.
Once all the processing is complete, a buzzer will beep to indicate that the processing is complete. After that, the output is displayed on the screen (15), including the actual bill amount that should be charged. The customer is then given an option to receive the actual bill details and GST status details on their mobile phone through a Wi-Fi module (13), which is connected to a Cloud Server (20) via the internet. The entire details of the bill will be sent to the phone number provided by the customer, and any further processing (such as filing a complaint) of the bill details will be done through software on the particular mobile device.
Figure.2 in the document outlines the step-by-step process by which the GST Scanner machine operates. It includes a detailed description of how the machine checks all the important conditions to ensure compliance with GST regulations. Furthermore, the figure also illustrates the subsequent steps that are taken in the process once the machine has checked and verified the relevant conditions. By presenting this information in a visual format, the figure provides a clear and concise overview of the working of the GST Scanner machine.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein 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 as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. 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 be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, 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.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The proposed solution is a scanner that utilizes a sensor to scan physical bills. Once scanned, the software programmed in the scanner will convert the physical bill into a digital format. The digital bill will then be compared with database available to determine the applicable Goods and Services Tax (GST). The scanner will further examine the bill to ensure the following details:
• Whether the GST number on the bill is valid or not
• Whether the GSTIN/UIN status is active or not
• Whether the GST number is of composite or regular type
• Whether there are any items on the bill that are not covered under the GST purview
After checking these details, the scanner will show the actual bill after deducting any extra charges.
The proposed solution is an automated system that can accurately and efficiently scan bills, determine the applicable GST, and check for any errors or discrepancies in the bill.
As shown in Figure.1, The process begins with the camera module (11), which captures an image of the bill and sends it to the computing unit (10). The computing unit (10) then processes the image with the help of a pre-trained machine learning model (12) and image processing technologies, converting it into a digital format.
The co-processor unit (14) works in conjunction with the computing unit (10) to check various conditions, including whether the GST is active or not, whether the GSTIN/UIN status is active or expired, the type of GST number, and whether the items on the bill are covered under the GST scheme.
Once all the processing is complete, a buzzer will beep to indicate that the processing is complete. After that, the output is displayed on the screen (15), including the actual bill amount that should be charged. The customer is then given an option to receive the actual bill details and GST status details on their mobile phone through a Wi-Fi module (13), which is connected to a Cloud Server (20) via the internet. The entire details of the bill will be sent to the phone number provided by the customer, and any further processing (such as filing a complaint) of the bill details will be done through software on the particular mobile device.
Figure.2 in the document outlines the step-by-step process by which the GST Scanner machine operates. It includes a detailed description of how the machine checks all the important conditions to ensure compliance with GST regulations. Furthermore, the figure also illustrates the subsequent steps that are taken in the process once the machine has checked and verified the relevant conditions. By presenting this information in a visual format, the figure provides a clear and concise overview of the working of the GST Scanner machine.
ADVANTAGES OF THE INVENTION:
• Customers will have quality assurance due to cross-checking by the database, ensuring that the products or services they receive meet certain standards.
• The system makes it easier for customers to lodge complaints, providing them with better customer support and improving their overall experience.
• The system helps customers save money by providing them with more accurate information about prices and taxes, enabling them to make more informed purchasing decisions.
• Businesses can gain additional trust from customers by using this system, as it demonstrates their commitment to quality and customer satisfaction.
• The GST checking process becomes smoother and more efficient.
• Complaint status will be displayed on customers mobile.
, Claims:We Claim:
1. A Machine learning based system for analyzing and fault detection in GST bill comprises with computing unit (10), the camera module (11), pre-trained machine learning model (12), Wi-Fi module (13), co-processor unit (14), Cloud Server (20) via the internet.
2. The system as claimed in claim 1, wherein the camera module (11), which captures an image of the bill and sends it to the computing unit (10).
3. The system as claimed in claim 1, wherein computing unit (10) then processes the image with the help of a pre-trained machine learning model (12) and image processing technologies, converting it into a digital format.
4. The system as claimed in claim 1, wherein co-processor unit (14) works in conjunction with the computing unit (10) to check various conditions, including whether the GST is active or not, whether the GSTIN/UIN status is active or expired, the type of GST number, and whether the items on the bill are covered under the GST scheme.
Dated this April 20, 2023