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The solution offers DeepFake prevention, and detection capabilities
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The solution has the ability to validate information regardless on the source and target media type
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Enables users to track information back to source
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Content Partially Accurate (End-user View)
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Fake or Source-less content
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Authentic Content
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Logo
PROBLEM
- Users worldwide are extensively exposed to fake news
- Criminals using misinformation to manipulate public opinion and users preferences
- Advanced technology (AI) is used as a weapon, making detection and mitigation efforts less effective
- Companies and Public Institutions are struggling to find scalable solutions to tackle the growing issue
SOLUTION
- A software solution enabling content creators to protect the information being distributed, and allowing end-users to detect authentic information among available content, and trace it to the source
- A software solution classifying content based on its nature and authenticity score, allowing content hosting platforms to prevent fake news virality, and optimize content moderation efforts
HOW DOES IT WORKS
- The content creator uploads files into the platform, to normalize data and extract information
- The platform turns extracted information into simplified “chunks” that will be used to train AI This will help the platform develop the ability to recognize the same information in other forms (files, video etc) or locations, and measure its level of accuracy in a later time when requested
- The platform generates a QR code that uniquely identifies the uploaded content online
- The Content creator will then upload the content (with the QR code) online
- Finally, end-users running the platform client application, and browsing information (video, news etc) online, will be able to recognize which among the available content is authentic, and be able to trace the information back to the source.
(See the "How Does it works" slide for more details)
PRODUCT STRENGTH AND WEAKNESS
Strengths
- Fights AI with AI
- Scalable
- Cross platform / data agnostic
- Protect content producers and content consumers
Weaknesses
- Business model not easy to define
- Expensive cloud costs
- Time to market
- Extensive maintenance effort
COMPETITION
- Big Tech firms are using human workforce in an effort to address the issue
DEVELOPMENT STAGE AND ROADMAP
The solution is currently in a conceptual stage and still need to be implemented.
HOW YOU CAN SUPPORT THIS PROJECT
If you like this project and want to support it (whether financially, or to join as an individual or Team), please send me an e-mail at mehdi.tazi@live.com, I will get back to you as soon as possible!
Notes: icons provided by courtesy of Freepik (https://www.flaticon.com/authors/freepik)
Built With
- artificial
- azure
- cloud
- google-compute-engine
- intelligence
- microsoft


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