Whisperings From The Ordinary: A Conversational Artificial Intelligence (AI) Approach To Bridging The Human-Object Divide

Abstract

In a world increasingly dominated by connected devices, one realm remains silent: most inanimate objects that surround us. This stark contrast highlights a critical gap in human-environment interaction, one that the present work aims to bridge through the power of intelligent conversation and shared understanding. Traditional IoT methods, while efficient, raise crucial concerns regarding sustainability. Embedding electronics into every object risk exceeding costs and generating substantial e-waste. This necessitates exploration of alternative paradigms that unlock the communicative potential of everyday items without environmental burden. Enter the confluence of object detection and conversational AI. Object detection, encompassing techniques like image classification, empowers machines to perceive their surroundings and make informed decisions based on identified objects. Conversational AI refers to the ability of computers to engage in a natural, human-like dialogue. By fitting in object detection, conversational AI can transform lifeless objects into active and intelligent participants in our lives, fostering a richer relationship with the spaces we inhabit. This paper proposes an AI-powered mobile application that unlocks the communicative potential of everyday items, transforming them from passive elements into active participants in our lives. We are exploring to enhance domestic routines by streamlining daily tasks with object-initiated reminders, proactive maintenance suggestions, and personalized advice. This research delves into the technical aspects, potential applications, and ethical implications of granting voice to the voiceless.