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ACTIVE R&D

Smart Home Assistant

Autonomous Home Management AI

A centralized, edge-computed home assistant designed to coordinate physical smart devices, automate kitchen workflows, and ensure physical security using local bio-authentication. Operates entirely without cloud dependency for maximum privacy.

Hardware & Software Stack

Primary technologies driving this prototype.

Python
C++
TensorFlow
MQTT
Docker
Innovation Pillars

R&D Objectives

Offline Autonomy

Operates 100% locally without cloud processing, ensuring complete privacy.

Cross-Device Sync

Integrates with legacy smart home APIs via custom bridging protocols.

Predictive Assistance

Learns household schedules via neural networks to automate routines.

System Architecture

Key modules powering the device logic.

Edge Security Core

Utilizes local neural processing to authenticate voices and faces instantly without transmitting data externally.

  • Bio-authentication
  • Local encrypted storage
  • Offline fallback mode

Environmental Automation

Dynamically adjusts ambient settings based on predictive modeling of inhabitant behavior.

  • Predictive HVAC control
  • Smart lighting sync
  • Energy optimization algorithms
Codelli Technologies