Claims:We claim:
1. An interactive platform and associated method of content creation for product promotion or service promotions providing performance based reward system (33) wherein the video content is created on the basis of product guidelines(34) using AI and Machine Learning; said video created through social media influencer, derived from product consumer true value system or content creator or content group contributor; said platform is an online web and/or mobile-based platform that allows users of different locations to interact and access the platform wherein the product consumer (27) or content creator(37) or content group contributor(53) is rewarded based on the content performance (47); said platform provides industrial and social benefits through digital campaign wherein the platform provides solutions to various challenges (42) on current influencers.

2. The interactive platform and associated technique of content creation as claimed in claim 1, wherein said the platform allows the video content creation and reward guidelines (33) using AI and machine learning ensuring the quality of the Promotion during content live recording and offline upload as well.

3. The interactive platform and associated technique of content creation as claimed in claim 1, wherein content creators are suitable rewarded based on their performance evaluated using AI and machine learning.

4. The interactive platform and associated technique of content creation as claimed in claim 1, wherein said content creators are derived from consumer true value system consisting of Product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge and Product Badge (27).

5. The interactive platform and associated technique, as claimed in claim 1, wherein said technique provides system and computer implemented method where product Company or service company creates Digital Video Advertisement/content creation Challenge (43) for product or service influencer.

6. The interactive platform and associated technique of content creation as claimed in claim 1, wherein said product or service content challenges includes Participant Selection Criteria, content creation Video Certification Criteria(45), Rewards Details to the Participants.

7. The interactive platform and associated technique of content creation as claimed in claim 1, wherein said platform provides an interactive Digital assistance to help and tailor(44) the Content Creator to align towards the content guidelines adherence, Vibrant, Fresh, Engaging, Authentic, Collaborative, localised contents in much effective, scalable, economical way (50).

8. The interactive platform and associated technique of content creation, as claimed in claim 1, wherein said platform uplift and democratize Influencer Marketing to Large Diverse Content Creators for Scalability and Cost-Effectiveness through the Digital Brand content Campaigns created through programmable interface(36) wherein Brand user can provide the Brand Guidelines, Quality Guidelines, Demographic Guidelines, Industry and Consumer Trend Guidelines.

9. The interactive platform and associated technique of content creation, as claimed in claim 1, wherein said platform would create win-win solution for both Product Companies (Much cheaper content creation) as well as the Buyers (Public would get an opportunity to earn or get product discounts).

10. The interactive platform and associated technique of content creation, as claimed in claim 1, wherein said content is created by true value consumer or content creator or content group contributors.
, Description:FIELD OF THE INVENTION:
The present invention relates to video content creation using AI and Machine Learning on Digital Platforms.
More particularly, the present invention relates to a unique process and method whereby Product Company or Service Company can share the requirement as Promotion Challenge to the platform where true consumers or content creators or group content contributors can take part. The Platform provides real-time validation and assistance (using Artificial Intelligence and Machine Learning Algorithms) ensuring the quality of the Promotion during content live recording and offline upload as well. The Product Company or Advertisement Company provides rewards based upon the Performance of the Published Promotion rating.

BACKGROUND OF THE INVENTION:
Because of the ever-increasing Internet traffic and speed, the content creation (video/ text/ image format) has become the biggest part of our culture these days. Our uniqueness is in bringing Automation & Interactive Digital Assistance to help the Content Creators and Content Contributors to make Vibrant, Fresh, Engaging, Authentic, Collaborative and localized contents, aligned with Government Standards, Quality standards in much more effective, scalable, economical way through Digital Content Creation Challenge.

The content creation of any product for promotion or advertisement is a highly lucrative business. Moreover, the present market enhances its product popularity on the basis of its video content that is appealing and content oriented. However, Word of Mouth Marketing (WOMM) is the most pristine form of advertisement or content creation for any product or service, present in the market. The system aims to digitize and promote WOMM on products that are offered in any digital Platform, by aligning the needs of the Product companies or Service Companies (referred as Brand), with what the public can offer. Additionally, the method addresses the growing challenges associated with lower quality and standards compliance in content creation and advertisement in a very systematic and most scalable manner. Some of the method of advertisement/content creation in the form of video has been discussed here.

Reference is made to a US patent no. US10387949B2 by Roku Inc dated 2003-12-23, titled “System and method for providing interactive advertisement”. The invention relates to a system and method for providing interactive advertisement is provided. In some embodiments, a component causes a video program having an interactive advertisement to be displayed to a user on a display screen. The interactive advertisement includes an enhanced content activator. In response to activation of the enhanced content activator by the user, enhanced advertisement information including at least one trigger is provisioned. The enhanced advertisement information is then caused to be displayed with the video program and the interactive advertisement. A selection by the user of the at least one trigger associated with the enhanced advertisement information is monitored. In response to selection of the at least one trigger, access to further content associated with the enhanced content information is provided.
The invention comprises of receiving, at a set-top box, a video program including a tag indicating an object in the video program which is to be overlaid; determining one or more advertisers promoting the tagged object; selecting an advertisement object, of one of the advertisers, associated with the tagged object.

Another reference is made to a US patent no. US20150221000A1 by Dynamic Video LLC dated 2007-05-31, titled “System and method for dynamic generation of video content”. The present invention relates to an automated system method for dynamically generating a composite video clip by a computer. In some embodiments of the invention, a template may be provided including at least one digital media asset and one or more placeholders, each placeholder associated with a respective dynamic content object and a respective layout. The system and method may extract from one or more websites, for example, e-commerce sites, data items corresponding to each of the dynamic content objects, and generated a composite video clip including the media asset, wherein the dynamic content objects are replaced with respective extracted data and presented in association with the media asset based on their respective layouts.
An method for generating an advertisement by a computer, comprising: providing a template for an advertisement including at least one dynamic component and at least one static component; selecting a dynamic data object linked to a placeholder associated with the dynamic component; automatically generating one or more video advertisements based on the template advertisement, wherein each video advertisement is personalized or customized based on data sources referenced by the dynamic data object.

Another reference is made to a US patent no. US10158901B2 John D. Steinberg Arthur H. Muir dated 2012-11-19, titled system and method for creating customized, multi-platform video programming. The invention relates to a systems and methods for representing video and audio media files as workflows are disclosed. In some cases, the systems and methods combine segments of the media files into larger compilations in the workflows, and using the workflows to individually optimize both the viewing experience for and the advertising presented to viewers based upon the circumstances of each viewer and parameters described with the workflow.

Another reference is made to a US patent no. US20150371283A1 Sampler App Inc dated 2014-06-24, titled system and method for managing or distributing promotional offers. The invention relates to a system is provided for managing or distributing promotional offers to one or more users, each with one or more characteristics, comprising: one or more utilities configured to track the distribution of one or more promotional offers to one or more eligible users; one or more utilities configured for defining one or more sets of rules; one or more utilities configured for applying one or more sets of rules; wherein the one or more sets of rules define various properties of the one or more promotional offers; and wherein the one or more eligible users are a subset of the one or more users.

Another reference is made to a US patent no. US20110112911A1 Viewfour Inc. dated 2006-12-07, titled Method and system for creating advertisements on behalf of advertisers by consumer-creators. The A method and system for enabling consumer-creators to create advertisements on behalf of advertisers on an electronic network includes the uploading or creating of an ad on a given website by a consumer-creator and offering the ad to advertisers or publishers or visitors for presentation on various medium (electronic or otherwise) where the ad can be available on the given website or linked to the given website from another website. The method can enable the selection of an ad (that has been uploaded or created by the consumer-creator) by an advertiser or a publisher or visitor. The method can also broker a relationship among the consumer-creator, visitor, advertiser, or publisher. The method can also track usage of the ad and automatically enable payment for the use of the ad based on the relationship brokered and the use tracked of the ad.

Another reference is made to a US patent no. US20160189198A1 View four Inc. dated 2014-12-30, titled automated media campaign management system. The present disclosure is directed to a system for automatically managing media campaigns. This system can receive media campaign parameters from a user, identify and recruit media content creators to create media for the user's media campaign, and manage and track performance of the created media.

Another reference is made to a patent no. KR20200139960A View four Inc. dated 2019-06-05, titled a Platform System for Influencer Based Marketing Using Block Chain. The invention relates to a service system according to an embodiment of the present invention includes: an advertiser device for registering marketing information and compensation condition information in a contract market on a block chain network; An influencer terminal that enters into a marketing contract selected in the contract market, stores it on the blockchain network, and provides the influencer content and the user behaviour tracking SDK module corresponding to the influencer content on the network for marketing. And; Processes the creation and registration of a smart contract corresponding to the influencer-based marketing service between the advertiser device and the influencer terminal, and a user behaviour tracking SDK module corresponding to influencer content by the operation of the registered smart contract is installed on the user terminal. A service device that provides verification processing and transaction processing for processing to be processed and collecting data of the user terminal so that the step-by-step compensation is appropriately compensated by the influencer terminal.

Another reference is made to a patent no. US8930236B2 by View four Inc. dated 2009-03-30, titled as Electronic incentive methods and systems for enabling carbon credit rewards and interactive participation of individuals and groups within the system. This invention relates generally to electronic commerce (e-commerce) systems and media platforms, for use with both mobile and non-mobile systems, to deploy virtual advertising and promotion via the use of electronic coupons, and more particularly a method and system for aggregating and distributing carbon reduction credits in connection with the creation and/or use of electronic coupons or virtual electronic rebates (VeeBates) and permitting individuals and groups within one or more social communications networks to participate in and transmit information to others about their activities related to the virtual advertising, incentives, redemption and promotion and aggregate carbon credits in connection.

Another reference is made to a patent no. WO2018126288 by SOCIAL MEDIA BROADCASTER, LLC dated 30.12.2016 , titled video-content-distribution platform integrated with advertisement and reward collection mechanisms. The invention relates to The disclosed embodiments provide a subscription-based video-content-distribution platform for providing a wide range of video contents from a wide range of content providers (including both social-media-influencer (SMI) video producers and non-SMI video producers) to the subscribers of the video content distribution platform and also promote a wide range of products and services associated with participating advertisers to the subscribers through the video contents distributed on the video-content-distribution platform. The disclosed content- distribution platform allows advertisers to reach a wide range of audiences, including both the subscribers of the video-content-distribution platform and followers of participating SMIs via their multiple social media accounts; and also allows the advertisers to allocate an amount of products and/or services as reward distribution among the subscribers in return for receiving media-buying-free advertisements of the products and services on the video- content-distribution platform.
A computer-implemented method of providing reward points associated with products and services of a group of advertisers to a subscriber of a video content distribution platform, the method comprising: receiving a second selection from the subscriber of a desired video from the list of relevant videos; and playing, on the screen of the subscriber's device, the selected video based on the second selection, whereby allowing the subscriber to claim reward points associated with the desired reward while watching the selected video.
None of the above invention provides to a unique process and method whereby Product Company or Advertisement Company can share the requirement as Promotion Challenge to the platform where true consumers or content creators or group content contributors can take part. The Platform provides real-time validation and assistance (using Artificial Intelligence and Machine Learning Algorithms) ensuring the quality of the Promotion during content live recording and offline upload as well. The Product Company or Advertisement Company provides rewards upon the Performance of the Published Promotion rating.

OBJECTS OF THE INVENTION:
The principal object of this invention is to provide an interactive platform and associated method of content creation for product promotion or service promotions providing performance-based reward system wherein the video content is created on the basis of product or service content guidelines using AI and Machine Learning ensuring the quality of the Promotion during content live recording and offline upload as well.

Another objective of the invention is to provide platform where true consumers or content creators or group content contributors can take part.

Another objective of the invention is to provide content creators or group content contributors derived from consumer true value system consisting of Product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge and Product Badge.

Another objective of the invention is to provide system and computer implemented method of content creation and promotion of the product.

Another objective of the invention is to provide product challenges that include Participant Selection Criteria, content creation Video Certification Criteria, and Rewards Distribution Details to the Participants.

Another objective of the invention is to provide a platform for interactive Digital assistance to help the Content Creator to make content guidelines adherence Vibrant, Fresh, Engaging, Authentic, collaborative, localised contents in much effective, scalable, economical way.

Another objective of the invention is to provide a platform that would create win-win solution for both Product Companies (Much cheaper content creation) as well as the Buyers (Public would get an opportunity to earn or get product discounts).

Another objective of the invention is to provide a platform wherein the digital certified advertisement would be sent to broadcast queue for promotions and reward journey.

Another objective of the invention is to provide a platform wherein the digital certified content would be sent to broadcast queue for promotions and reward journey.

SUMMARY OF THE INVENTION:
An interactive platform and associated method of content creation for product promotion providing performance based reward system wherein the video content is created on the basis of product guidelines using AI and Machine Learning ensuring the quality of the Promotion during content live recording and offline upload as well; said video created through social media influencer derived from product consumer true value system or content creator or content group contributor; said platform is an online web and/or mobile-based platform that allows users of different locations to interact and access the platform wherein the product consumer or content creator or content group contributor is rewarded based on the content performance; said platform provides industrial and social benefits through digital campaign wherein the platform provides solutions to various challenges on current influencers and content contributors.
The challenge includes Participant Selection Criteria, content creation Video Certification Criteria, and Rewards Details to the Participants. The eligible participants are intimated through the platform or participant can themselves participate through the Platform. AI Real-time and Offline System to assist the user to capture, filter and publish the Digital content are provided. The digital certified content for the product or service would be sent to broadcast queue for promotions and reward journey

BRIEF DESCRIPTION OF DRAWINGS:
Figure 1, represents AI and Machine Learning solutions to validate, authenticate & enhance content creation. The flowchart shows AI toolkit that comprises of five different, but related components. The potential use cases under each component along with their high-level solutions using a combination of Artificial Intelligence, Image Processing and Computer Vision techniques are described briefly wherein
• AI Genie (2): AI Genie does near real-time recommendations and offline evaluation report during and after the video recording. The suggestions are powered by the AI Metric and AI Authenticate components, which does criteria validation (5) and veracity validation (3) respectively, on the input video frames. Further, it can also provide video capture assistance with the help of AI Capture (7) module and adds additional value with AI value (12) module as well.

Real-Time Mode: AI Genie (2) would provide real-time suggestions using AI Metric-Spot (11) module, while the video is being recorded. For example, light-weight validations such as pet or object exclusions, background preference etc.
Offline Mode: Once the recording is complete, the video will be uploaded and analysed by AI Metric-Deep and AI Authenticate modules. Feedback would be given to AI Genie along with recommendations, once the validation is complete.
• AI Capture (7): AI Capture component aims to assist and augment the content video capture procedure such as Automatic suggestion of camera placement to better the ad video capture; Computation of anatomical features to recommend better person pose; Compute vibration ratio using image “key point displacement algorithm” to detect camera vibrations.
• AI Authenticate (8): This component aims to analyse how authentic and dependable the content review is. Veracity of the content/ad could be judged from the identity, words, emotions and also the features in the audio channel. (A) Here transcribing the audio channel to converting video to text is done. Used Natural Language Processing (NLP) to confirm whether product features are mentioned or explained in the transcript. (B) Identify the character and extract the rating based on his/her popularity from history data base. Face Recognition Models can be deployed to implement this use case
(C) If the person has interest in doing the content creation/ad, and then the content/ad is more likely to be authentic. The text-based Sentimental Analysis can also be done using Natural Language Processing (NLP) on content video reviews & Video transcription.
• AI Metric (9): This is the core AI component which does video validation, both real-time & offline to give input to AI Genie. The real-time sub-component is known as AI Metric-Spot and the offline component is called AI Metric-Deep.
AI Metric-Spot (11): Real-time validation use-cases include, but not limited to- Background Preference & Exclusions wherein image processing techniques like Background Subtraction and Image Segmentation can be used to identify such features; Pet Presence or Absence where object detection models such as YOLO trained on pets; Object Exclusions where object detection models like SSD trained on such objects can be deployed.
AI Metric-Deep (10): Offline validation use-cases include, but not limited to Number of Person(s): where Human Detection AI models are to be used; Gender Preference & Exclusions: where Face Localization and Gender Detection Models used; Minimum Video Duration & Other Exclusions where video processing libraries & Computer Vision is analysed.
• AI Value (12)
AI Value component aims to add value to the video by adding meta-data, suggestions, timeline segmentation, character extraction, transcription, summary etc. Some of the identified use-cases include, but not limited to,
Identify competing brands where text extraction from Natural Scenes is (MSER) to be employed.
Product Search where Transcribe ad videos and categorize them. Useful to search about products.
Product Summary: where summary of transcription using Text Summarizer Models like T5 is made.
Resonance Prediction: ML-based prediction of audience resonance using derived features such as age, gender, video duration, location, gadget, language etc. ML system will continuously compute performance metrics of existing ads in the system.
Frame Labelling: Label individual video frames using Object Detection to add to ML features.
Customer Feedback: The feedback from consumers is consolidated and sends to product companies, so that they get to hear voice from the ground to improve the product.
Figure 2, shows the relationship between AI components in the Venn diagram below. Here the AI Capture and Value (13) and AI Authenticate (integrity validation) (14) shows unconfirmed (18) content or advertisement and AI Authenticate (integrity validation and AI metric (Criteria Validation) shows valid and genuine (17) content creation. In the same way the AI capture and value shows valid and enhanced (19) content. Finally when all the three components are combined, it produces true value (15).
Figure 3, Shows how true value is generated in the present invention where buyer is validated based on product continuity (20), buyer feedback is validated on the product performance attributes (21), then authenticity is validated using AI through the product performance attributes (22), then AI capture authenticity is done using computer vision.
Figure 4, Shows various components of the content creation such as transact system (25), consumer segmentation (27) and true product consumer (28). The transact system of digital content creation comprises of e-commerce, fintech and any system in which a consumer interacts on a product purchase/land. After the process of transact system is over the management of invoice Consumer segmentation is done. The consumer segmentation (27) comprises of product purchase continuity, consumer segment badge and product/brand badge. The consumer segmentation basically consists of true product consumer (28) that comprises of consumer data repository as shown in figure 4. Based on the purchase continuity i.e. shopping and frequency of shopping a certified product user is determined. Based on the shopping categories and frequency of the purchase, a product badge is created and the same can be upgraded on the basis of product engagement i.e. feedback content creation and influence.
Figure 5, shows the consolidated diagram of entire process involved in digital content creation and reward guidelines as shown in figure. The main objective is provided as goals need to achieve through the content creation and reward guidelines (33) and brand guidelines (34). Brand legal guidelines comprise of brand name, product name brand visual aspects (35). The challenge content guidelines comprises of number of persons, gender preference and exclusions, background colour preference, any pets, any environment preference and exclusions, objects materials preference and exclusions, minimum duration of video ad and exclusions, find the person and extract the rating based on their popularity from historical data. The participant selection guidelines are based on the skills, demographics and true product consumer. These components (37) are criteria for true consumer or content creator. True product consumer is determined by consumer filter which is one of the most important filters of consumer filter based on consumer data repository (40). The consumer data repository (40) comprises of consumer dataset curated and tagged from the external of internal e-commerce source based on user purchase history and other product engagement or brand engagement. The rewards distribution would be recorded against the corresponding challenges based on rewards repository (41). The reward repository is the results of reward manager (47) based on contributor participation reward, brand contributor selection reward, content/strategy submission reward. Content strategy selection reward, mile stone- reward/threshold based reward such as KPI, CPC KPI and sale driver KPI. All the guidelines (34) are used as challenge repository that consist of the objective, challenge plan and reward plan. The user picks up the challenge from the repository (42) and takes part in the challenge participation. It is also mentioned that filtered participants takes part in challenge. The certified content after the challenge is then pushed to the content repository for broadcast by content publish engine wherein it also determines reward manger. From the challenge participation the participant can leverage various digital/non-digital tools to create more collaborative, vibrant, fresh engaging, authentic and quality content and leads to the “platform digital assistance for content creating, platforms content quality guidelines manager, provider repository and collaborative contributor marketplace” (50) that leads to group content contributors. The platform content quality guideline manager consists of quality attributes (51) (video lighting, non-blur, vibration massage quality) (54) and content moderation (51) (censored, minors, drugs, weapons, hate, alcohol, offensive gestures (55). The provider repository comprises of “physical assets and physical location” (52). The collaborative contributor marketplace comprises of strategy contributors, content contributors and influencer (53). The platform digital assistance for content creation validates and assists over the content guidelines for “live recording assistance and official upload validation” (44). This leads to AI tool kit as shown in figure 1. The AI value i.e. (containing text extraction, emotion, character etc. for the product recommendation and improving the platform capacity is decide by user data dictionary (46).

DETAILED DESCRIPTION OF THE INVENTION:
It should be noted that the particular description and embodiments set forth in the specification below are merely exemplary of the wide variety and arrangement of instructions which can be employed with the present invention. The present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. All the features disclosed in this specification may be replaced by similar other or alternative features performing similar or same or equivalent purposes. Thus, unless expressly stated otherwise, they all are within the scope of present invention. Various modifications or substitutions are also possible without departing from the scope or spirit of the present invention. Therefore, it is to be understood that this specification has been described by way of the most preferred embodiments and for the purposes of illustration and not limitation.
Some of the definitions for various terms used in the present invention can be elaborated as follows for the illustration and better analysis of the content creation.
• Word of Mouth Marketing (WOMM): Word-of-mouth marketing differs from naturally occurring word of mouth, in that it is actively influenced or encouraged by organizations;
• AI Pipelines and Algorithms: Flow of AI modules one feeding into another to produce a certain outcome. Each module may implement one or more AI algorithms;
• Product Company or Brand (32): A type of product manufactured by a particular company under a particular name; the product company is the platform user who creates Promotion Challenge for Advertisement ,Marketing or content creation and who supplies Rewards to the Product Consumers based on their Performance of the Published Promotion rating.
• Content Creator (37): A content creator is someone who is responsible for the contribution of information to any media and most especially to digital media. they usually target a specific end-user/audience in specific contexts;
• Content Contributor: A content contributor is someone who is responsible for the contribution of information, physical assets required for the content Creation (e.g.: camera, tripod, customers etc.), provide physical location (provide the shop space or private space for the shooting any video content).
• Content Guidelines Adherence (34): Ensure the Product Guidelines and Quality Guidelines are met. Quality guidelines can be added by the platform to ensure the Vibrant, Fresh, Engaging, Authentic attributes.
• AI & Machine Learning: Machine learning and deep learning are subfields of AI Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude;
• Social Media Influencer Marketing: A Social Media Influencer is a user on social media who has established credibility in a specific industry. A social media influencer has access to a large audience and can persuade others by virtue of their authenticity and reach;
• Programmable Interface: An interface is a programming structure/syntax that allows the computer to enforce certain properties. Brand user can provide the Brand Guidelines, Quality Guidelines, Demographic Guidelines, Industry and Consumer Trend Guidelines;
• Buyer Journey (Awareness, Consideration, and Decision Stages): The buyer's journey is a framework that acknowledges a buyer's progression through a research and decision process ultimately culminating in a purchase;
• Product Continuity Ratio: The rate of the purchase/consumption of the Same Product;
• Consumer Product Engagement Ratio: the share product experience and personal opinion to improve potential buyer journey. A long term product consumer would make significant impact of the buyer journey;
• Consumer Brand Influencing Ratio: The engagement on content creation for the brand;
• Consumer Badge: The computer algorithm will tag users to various categories based on purchase trend analytics such as long term engagement, duration interest etc.;
• Product Badge: The consumer segmentation badge will be combined with the individual product experience to supply product/brand specific badges;
• Behavioural Targeting: This is a term used to describe targeting based on data which is gathered on a user. This can be as simple as age or gender as entered on a site in your login details, or just your recent web browsing habits;
• Consumer True Value System: The Content Creators derived from Product Consumers based on Product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge, Product Badge brings new Marketing Model called Consumer True Value System.
• Product Consumers: Theses are users who can accept the Promotion Challenge based on the below criteria that the user belongs to the digital Platform, user bought the product X (times) mentioned in Promotion Challenge, user have Product Continuity Rating greater than (x), users have Performance of the Published Promotion rating on the digital Platform greater than (x), the users is a Digital Brand Ambassador to the Product/Product Company.
• Product Guidelines/Brand Guidelines: The Brand Legal Guidelines such as Brand Name, Product Name, Brand Visual Aspects (Graphic Standards, Logos, Logo Marks, Corporate Colours etc.), Challenge-Content Guidelines such as Number of Person(s), Gender preference and exclusions, Background Colour/ Shade preference and exclusions, Any Pets, Any Environments preference and exclusions, Language preference and exclusions, Objects/Materials preference and exclusions, Minimum duration preference of video ad and exclusions etc.
• Content Quality Guidelines: Certain Guideline associated to gauge the Quality of the Recording such as Video Lighting, Motion Blur, Vibration, Message Quality, Camera Placement etc.
• Government Standards: The government guidelines and community standards such as filtering Censored, Minors, Drugs, Weapons, Hate, Alcohol, Offensive Gestures etc.
Word of Mouth Marketing (WOMM) is the most pristine form of content creation in the form video for any product or service that is available in the market. The system aims to digitize and promote WOMM on products that are offered on any digital Platform, by aligning the needs of the Product companies or brand with what the public can offer.
In order for the system to seamlessly scale, the present invention provides the use of AI pipelines and algorithms to automate the content creation in accordance with the need of product companies or brand. Furthermore, the content creators could be suitably rewarded based on their performance, again evaluated using AI & Machine Learning. Not just the validation, but the Authenticity and Value Addition of the content are proposed to be done using AI to certify a recorded video as True Value Advertisement/content.
The invention particularly provides industrial and social benefits through the innovations in content creation for the product promotion. With the rapid growth on digital technologies and social networking platforms, large people are getting involved on content creation through Social Media Influencer Marketing. The present invention brings large automation to this industry, Brand wherein the requirement is provided through programmable brand guidelines and content would be created in semi-automated and automated using AI and Machine Learning. In addition, the system provides filter for true consumers whose content product knowledge, product experience and product engagement experience create vibrant, fresh, engaging, authentic, collaborative, localised content.
This platform would create win-win solution for both product companies because of much cheaper content creation as well as the buyers as public would get an opportunity to earn or get product discounts. Moreover, better products would get deserved publicity faster, giving the much-needed push to Product Start-ups and Indian Economy, in general as well.
The present inventions uplift and democratize Influencer Marketing to Large Diverse Content Creators for scalability and cost-effectiveness through the digital brand content campaigns. The Brand content campaign can be created through a Programmable Interface, where Brand user can provide the Brand Guidelines, Quality Guidelines, Demographic Guidelines, Industry and Consumer Trend Guidelines. The AI System tailors and validates through the content Campaigns Guidelines to generate content with quality.
The content creators derived from product consumers based on their product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge, Product Badge creates a new digital marketing model called Consumer True Value System. The Consumer True Value system further enriches the content by adding trust and product experience. The same is presented as an indicator into the created Content to keep a transparency and attract more consumers to take part on Buyer Journey that comprises of Awareness, Consideration, and Decision Stages.
Product consumer’s performance rating is measured for rewards on the basis of Consumer Views, Click Rating, Influenced Sales Rating, Influenced Product Rating, and Locality Reach Rating.
The present invention provides solution to system having various challenges on Current Influencer Marketing. Such challenges comprises of
• Spotting Inauthentic Engagement: It is estimated that as social media platforms grows and optimize their technologies, so they validate the Content and ensure that it is created under Brand Guidelines and Quality Standards becomes very expensive.
• Rising Influencer Costs: The price of influencer marketing ranges from influencer collaboration charges to creative production costs to management tool payments to influencer agency fees. Even as the industry grows more sophisticated, the influencers, tools, platforms, and agencies do as well. In some cases, this drives up the associated cost of running a campaign therefore the cost associated with is minimised with the help of the present invention.
• Keeping Up With Social Media Trends To Stay Relevant: The social media ecosystem is constantly evolving, and it can be difficult to stay on top of what’s relevant in a given moment. That’s why 33% of marketers say keeping up with social media trends is a challenge therefore the present inventon assist in keeping up with social media trends.
• Building a Strong Creative Strategy: Marketing professionals know that marketing is a combination of art and science and its success depends on how well advertisers or content creator or product promotor can blend the two without compromising one or the other. Yet, 33% of marketers struggle to build a strong creative strategy across influencer marketing campaigns.
• Reducing Time Spent Managing Campaigns: No surprise here—managing influencer marketing campaigns poses a challenge for 30% of marketers. With the expansion of influencer marketing capabilities, roles, and expectations, the time spent managing each element takes a toll on brands’ precious time.
• Brand Safety & Brand Alignment: On both sides of the coin, brands and influencers have much at stake when it comes to collaborations. With both parties carefully building brands that attract valued fans and customers, it’s important to preserve their brand values and protect their reputations. Hence, 28% of marketers say brand safety and brand alignment are a challenge. In certain stage the same influencers may do a competition for the content creation which make consumers confused.
• Adhere to Brand Policies and be Trustworty to Consumers: No Automated process on ensuring the brand Policies are followed and automated tailoring system available to ensure the quality of the Content Creator and Created Content
• Government Trade Regulations & Requirements: Many marketers remember the drama around FTC(Federal Trade Council) influencer marketing violations—something that haunts both influencers and brands. The FTC endorsement guidelines may not have the greatest track record of enforcement, but it doesn’t mean brands aren’t concerned about adhering to its requirements. In our survey, 18% of marketers marked FTC regulations as a challenge this year.
• Create Localised Content To Grow At Scale.
• Create Authentic Story Telling Content, Comes Out From Product Experience.
The detail process involve in the present inveniton can be analysed in figure 5
Wherein it shows the consolidated diagram of entire process involved in digital content creation and reward guidelines. The main objective is provided as goals need to achieve through the content creation and reward guidelines (33) and brand guidelines (34). Brand legal guidelines comprise of brand name, product name brand visual aspects (35). The challenge content guidelines comprises of number of persons, gender preference and exclusions, background colour preference, any pets, any environment preference and exclusions, objects materials preference and exclusions, minimum duration of video ad and exclusions, find the person and extract the rating based on their popularity from historical data. The participant selection guidelines are based on the skills, demographics and true product consumer. These components (37) are criteria for true consumer or content creator. True product consumer is determined by consumer filter which is one of the most important filters of consumer filter based on consumer data repository (40). The consumer data repository (40) comprises of consumer dataset curated and tagged from the external of internal e-commerce source based on user purchase history and other product engagement or brand engagement. The rewards distribution would be recorded against the corresponding challenges based on rewards repository (41). The reward repository is the results of reward manager (47) based on contributor participation reward, brand contributor selection reward, content/strategy submission reward. Content strategy selection reward, mile stone- reward/threshold based reward such as KPI, CPC KPI and sale driver KPI. All the guidelines (34) are used as challenge repository that consist of the objective, challenge plan and reward plan. The user picks up the challenge from the repository (42) and takes part in the challenge participation. It is also mentioned that filtered participants takes part in challenge. The certified content after the challenge is then pushed to the content repository for broadcast by content publish engine wherein it also determines reward manger. From the challenge participation the participant can leverage various digital/non-digital tools to create more collaborative, vibrant, fresh engaging, authentic and quality content and leads to the “platform digital assistance for content creating, platforms content quality guidelines manager, provider repository and collaborative contributor marketplace” (50) that leads to group content contributors. The platform content quality guideline manager consists of quality attributes (51) (video lighting, non-blur, vibration massage quality) (54) and content moderation (51) (censored, minors, drugs, weapons, hate, alcohol, offensive gestures (55). The provider repository comprises of “physical assets and physical location” (52). The collaborative contributor marketplace comprises of strategy contributors, content contributors and influencer (53). The platform digital assistance for content creation validates and assists over the content guidelines for “live recording assistance and official upload validation” (44). This leads to AI tool kit as shown in figure 1. The AI tool kit (45) comprises of AI Genie for live/offine assistance, AI engine which perform all the data analytics to ensure the quality of the video, AI Face which make the corrections and apply intelligent changes on video on any failed criteria, and the AI value i.e. (containing text extraction, emotion, character etc. for the product recommendation and improving the platform capacity is decide by user data dictionary (46).

ADVANTAGES OF THE INVENTION:
• Validations on criteria.
• Message validation.
• Real-time recommendation.
• Frame runtime correction.
• Emotional analytics.
• Quality adherence.
• Regional language support and translation.
• Learn Data and Drive towards semi-automated to fully automated Video.
• Derive other KPI to support the True Marketing KPI.