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.

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

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

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

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.

Light-weight 6D pose estimation for Edge devices

Digital Optimization Group - ADN CLI - Developer Preview

Resource Efficient Federated Learning (Testbed Implementation)