CommonPub, Open Maker Platform

Fixing a project's HTML explainer on screen and handing it off as one link

I'm building NOS: fix the text of a project explainer right on the page, then share it as a link that stays the same after edits.

deveco.io project

WildGuard AI: Intelligent Wildlife Defense & Alert System

WildGuard is a solar-powered, AI-driven robotics system that continuously monitors forest roads to detect wildlife, deploy escalating deterrents, and issue real-time alerts to prevent human-animal conflicts

deveco.io blog

My Journey Learning KiCad

Struggling to learn PCB design? Here is how Fedevel Academy’s beginner course helped me finally bridge the gap between messy breadboards and professional, manufactured hardware.

deveco.io project

Wildfire Sentinel

A solar-powered camera and thermal node that detects wildfire smoke and ignitions entirely on an Arduino UNO Q, using integer-only SuperFloat CNNs. It alerts over whatever link survives, and no image ever leaves the board.

deveco.io project

How are businesses actually using AI services today?

I’ve been seeing more businesses adopt AI lately, but I’m curious about how companies are using it beyond the usual chatbots and content-generation tools. There seem to be quite a few practical applications, including workflow automation, data analysis, customer support, document processing, and predictive tools. That’s what got me researching different AI SERVICES and how businesses are implementing them in real-world situations. I came across Pigeon Tech while researching AI service providers and was interested in the range of solutions companies can potentially build around AI. For those already using AI in their business, what application has actually saved your team the most time or improved a process?

deveco.io project

BRASA: edge-AI firebrand monitoring and suppression for neighborhoods

BRASA is an open-source, low-cost node that watches a home after its residents evacuate, uses on-device AI to detect a growing ember ignition, sprays only the affected zone, verifies the result thermally, and reports to responders over an encrypted offline LoRa mesh.

deveco.io project

REMA — Intelligent Resource Management Assistant for Emergencies

REMA is an offline Edge AI assistant designed to support people during emergencies and infrastructure failures. It identifies available resources, translates them into practical capabilities, and helps users prioritize those capabilities according to their immediate needs. Unlike a generic chatbot or survival guide, REMA uses a local resource capability map and validated safety rules to provide recommendations based on what is actually available. The system can update its recommendations when resources are added, removed, or depleted. REMA is designed to work without internet or cloud connectivity, making it useful when critical infrastructure is unavailable. When infrastructure fails, use what remains.

deveco.io project

SteadyHome: An Offline Edge AI Hazard Scanner for Earthquake-Ready Homes (Fork)

A low-cost, offline edge AI kit that scans homes for earthquake hazards like unanchored furniture and heavy objects above beds, keeping every photo private on the device.

deveco.io project

Building a Smart Gym Vending Machine System

A smart gym vending system with custom software, cashless payments, real-time inventory tracking, remote monitoring, and sales analytics for fitness centers.

deveco.io project

Edge AI on the Edge

Oumuamua Digital Marketing Technology Solutions is a Technology Company . That has developed a Verticalized, Sovereign Air-Gapped, Asymmetric Neuro-Symbolic Cognitive Edge Appliance and Autonomous Cyber-Physical Orchestration Ecosystem (The IC-COS Platform Stack).This technology establishes an entirely new, independent class of mobile machine intelligence. By permanently trapping advanced civilizational reasoning directly within local, disconnected silicon, our platform successfully achieves a multi-decade computer science milestone: the complete, unconditional decoupling of high-fidelity cognitive computation from cloud data centers, public network routing, and third-party infrastructure dependencies. The technology represents a complete structural departure from current infrastructure-dependent cloud and centralized computing models. By successfully automating the boundary between dynamic context-injection control layers and proprietary frozen neural weights, this system achieves a critical industry milestone: it decouples advanced, high-fidelity cognitive reasoning from the datacenter and traps it permanently within local, offline silicon.The platform requires no physical semiconductor fabrication, custom hardware manufacturing lines, or public data-center real estate allocations. It operates as a pure software-defined fabric designed to optimize and secure an acquiring organization’s existing physical computing infrastructure fleets. A technical administrator can initialize the complete air-gapped system, deploy our customized context frameworks, and have a live, token-streaming engineering engine running on current enterprise laptops and workstations in under 5 minutes.