π¨ What if every product had a digital identity?
I built TrustTrace β a product authentication & fraud-intelligence platform designed to help detect suspicious activity associated with counterfeit or misused products.
And itβs now deployed. π
#TrustTrace#Cybersecurity
TrustTrace is already a working, deployed MVP.
Now I want to test the idea against real-world problems.
If your organization deals with counterfeit products, product authentication, distribution or fraud, let's talk.
π [Explore TrustTrace](https://t.co/KW70EheLaR
π€ Technology partners
π§ͺ Pilot testers
π° Sponsors & strategic partners
I'm looking for real-world testing, feedback, pilot projects, collaboration and support for further development.
π I'm now looking for organizations interested in taking TrustTrace beyond the MVP.
I'm open to working with:
π Manufacturers & product owners
π¦ Distributors & retailers
π Cybersecurity professionals
π’ Businesses & organizations
TrustTrace doesn't automatically declare a product counterfeit.
It identifies **suspicious patterns and flags them for further investigation.**
The goal is to give businesses better visibility and intelligence β so humans can make informed decisions.
TrustTrace can flag patterns such as:
β‘ Unusually high scan frequency
π Suspicious location movement
π¨ Repeated or abnormal verification activity
These signals can indicate potential product misuse, cloning, replayed identities or counterfeit activity requiring investigation
When the QR is scanned, TrustTrace checks the product against its registered records.
But verification doesn't stop at:
β βProduct exists.β
TrustTrace also monitors the activity surrounding that verification.
With TrustTrace, businesses can register their products and assign each one a unique QR identity.
π Register product
π·οΈ Generate QR label
π¦ Place it on the product/package
π± Scan to verify
The QR becomes the entry point to the product's digital verification history.
This project is part of my ongoing Learn2Earn Fellowship journey, where I'm trying to turn every major lesson into something practical.
π Try the classifier:
https://t.co/ZOoYhoO9fZ
I'm learning by building.
#Learn2Earn#MachineLearning#AI#Cybersecurity#AISecurity
A Machine Learning lesson at @Learn2Earn turned into a real project. π€π
During mylessons on Machine Learning and Traditional Programming, I asked myself:
What can I actually build with what I'm learning?
That question led to my AI-Powered Phishing Message Classifier.
π§΅π
Then came the part I really wanted to experience:
Deployment.
I pushed the project to GitHub and deployed the application on Render.
So my project went from:
Learn β Build β Debug β Test β Deploy
It is now publicly accessible.
I'm interested in exploring how this project could eventually evolve into an Al-powered lighting system where users describe the atmosphere they want and Al generates the corresponding lighting scene.
For now, I'm documenting the journey and building one project at a time.
Started with an RGB lesson in CSS.
Then I asked: what can I actually build with this?
That question became my RGB Event Light Simulator. ππ»
Learning β Building β Debugging β Improving.
And this is only the beginning. π
#Learn2Earn#AIEngineering#BuildInPublic
Before AI, there was SmartRoyal.
Now I'm stepping outside my comfort zone and building a new chapter in AI Software Engineering through the Learn2Earn Fellowship.
I'll be documenting what I learn, build, and discover along the way. π
#Learn2Earn#AI#BuildInPublic
@AO1379@kinplustech On behalf of @kinplustech and all beneficiaries of the current cohort, I say a big thanks to you Father for opening the doors for this opportunity and your leadership support to building well skilled young tech professionals in Ekiti State sir β¦β¦