Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

A lightweight, edge-first web framework built on Cloudflare Workers with authentication, D1 database, and a clean dark UI. Deploy a blog or small site globally in under 5 minutes. Version 1.0

Ingredient to Sugar Level Estimation (from training in Python to edge deployment in JS/TS)

This project is an AI-powered mobile application capable of recognizing age, gender, and facial expressions from images.

POSIX-compliant configuration parser for systematic build coordination with deterministic pass-mode resolution. Phase 1 implementation establishing foundational architecture for modular component discovery, threading infrastructure, and systematic validation within the NexusLink ecosystem. Waterfall methodology with comprehensive quality assurance.

Code of the paper "Emotion Recognition on Edge Devices: Training and Deployment " by Pandelea et al.

Example app using React Create App & Digital Optimization Group's ADN & CMS

Light-weight 6D pose estimation for Edge devices

Toolset for creating and publishing OS images with automated TPM attestation process for Azure IoT Edge.

Optimized CNN achieving ~90% accuracy with 38.6% parameter reduction for production-ready digit recognition

Developing efficient deep learning models for real-world use. Covers knowledge distillation, quantization, pruning, and more. Focused on reducing size and latency while preserving accuracy. Includes training pipelines, visualizations, and performance reports.

Resource Efficient Federated Learning (Testbed Implementation)

Digital Optimization Group - ADN CLI - Developer Preview