Harold Nguemeta@Junioraae
1
Events attended
1
Submissions made
France
1 year of experience
About me
My name is Nguemeta Harold, and I am a passionate entrepreneur driven by technology, innovation, and digital transformation. Based in France, I dedicate my energy to developing smart solutions that bring businesses closer to the future of the digital world. I am the founder of Digital Skills Collective, an initiative designed to promote digital literacy and foster collaboration between creators, developers, and entrepreneurs. Through this venture, I am leading an ambitious project called Interactive Bazaar — an AI-powered e-commerce platform built on blockchain and voice intelligence. Each store within the marketplace will feature its own custom voice assistant to welcome, guide, and support visitors, making the online shopping experience more engaging and human. My vision is simple yet powerful: to make technology accessible and meaningful to everyone, while shaping a new generation of connected, sustainable, and human-centered businesses. I strongly believe that the future belongs to those who combine creativity, technology, and social impact. Alongside my entrepreneurial journey, I continue to strengthen my skills in programming, artificial intelligence, and digital project management, with the goal of building ethical and high-performing digital solutions.
🤓 Latest Submissions
SwiftSort AI
SwiftSort AI is an autonomous warehouse intelligence system designed to coordinate robotic logistics operations through a centralized AI backend deployed on Vultr. Modern warehouses are increasingly complex environments involving robotic arms, AGVs, conveyors, quality control stations, and human operators. However, most systems still rely on static rule-based logic and lack a real-time decision layer capable of adapting dynamically to disruptions. SwiftSort AI introduces a centralized AI “brain” that connects to a simulated warehouse environment built in FlexSim. The system continuously analyzes operational parameters such as queue congestion, operator availability, quality control rates, and throughput metrics. Based on this data, the AI autonomously determines optimal routing decisions (e.g., direct sorting vs. quality inspection), allocates robotic resources, and adjusts workflow priorities in real time.SwiftSort AI focuses on three key capabilities: autonomous decision-making, simulation-driven validation before real deployment, and real-time supervision. The system demonstrates how AI can act as a coordination layer for robotic environments, improving efficiency, reducing routing errors, and enabling scalable intelligent logistics operations. This project represents a simulation-first approach to robotic orchestration, designed to evolve toward real-world deployment in industrial warehouse systems.
15 Feb 2026
