Year: 2025
Type: article
Abstract: JARVIS is a next-generation virtual assistant designed to overcome limitations in natural language understanding, contextual awareness, and device compatibility. By leveraging technologies like NLP, machine learning, and IoT integration, it offers personalized interactions, automates tasks, and enhances productivity across domains such as smart homes, healthcare, and finance. With robust home automation capabilities, JARVIS can control and optimize household appliances, lighting, and security systems, creating a smarter and more responsive living environment. Additionally, its object detection features enable real-time identification and analysis of visual inputs, making it valuable for applications like surveillance, accessibility support, and smart navigation. JARVIS adapts to user preferences over time, ensuring relevant and timely assistance while prioritizing privacy and data security through robust measures. Its scalable architecture supports future growth and seamless integration across devices, fostering intuitive, efficient technology experiences. JARVIS aspires to redefine virtual assistants, enriching daily life through smarter, user-centric, and secure interactions. Index Terms: Natural Language Processing (NLP), Machine Learning, Internet of Things (IoT), Voice & Speech Recognition, User Personalization, Home Automation, Object Detection
DOI: 10.55041/ijsrem45133
Author: Sumit Anantwal
Institution: University of Mumbai
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409600247