International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Jarvis – Personal Assistance using Python Prof. Heena patil1, prof. Aunrag shekhar2, Ms. Manita sah3, Ms. Kajal kongere4, Ms. Dhanshree malpekar5, Mr. Harsh kewat6 1Head of Department, Dept. of AIML Diploma, ARMIET, Maharashtra, India 2Lecturer, Dept. of AIML Diploma
ARMIET, Maharashtra, India 3Student, Dept. of AIML Diploma, ARMIET, Maharashtra, India 4Student, Dept. of AIML Diploma, ARMIET, Maharashtra, India 5Student, Dept. of AIML Diploma, ARMIET, Maharashtra, India 6Student, Dept. of AIML Diploma, ARMIET, Maharashtra, ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The goal of this project is to develop an
7. Staying Safe: We make sure that the data is secure and private, so you don't have to worry about your information getting into the wrong hands.
intelligent assistant that is easy to use and can improve your everyday life. It is simple to ask questions, give commands, or have informal chats with this AI assistant because of its capacity to connect with you in a natural way. Additionally, it may learn from your interactions, which means that over time, it will adjust to your tastes and needs to provide you a tailored experience. The AI assistant is great at organizing your schedule, putting reminders on your behalf, and providing recommendations and useful information. [3]. the project's main goal is to develop a personal assistant, especially in light of Windows-based operating systems. The concept for JARVIS, a personal assistant, was influenced by existential virtual assistants like Cortana.
1.1 Problem Statement [2] The integration of AI and IoT presents significant security and privacy challenges. Ensuring the confidentiality, integrity, and authenticity of IoT data, device authentication, real-time threat detection, and user privacy protection are paramount. The complexity of large-scale IoT deployments, resource constraints, and regulatory compliance further compound the problem. To fully leverage AI in IoT applications, robust security measures and privacy safeguards must be developed, encompassing encryption, anomaly detection, access management, and compliance frameworks.
Key Words: Artificial Intelligence, Machine Learning, Natural Language Processing, Voice detection, Voice recognition etc.
1.2 Purpose
1. Introduction
[2] The elderly, the visually and physically handicapped, children, and others benefit from virtual assistants since engaging with machines is no longer a challenge. Even blind people who can't see the computer can communicate with it simply by speaking to it. The integration of AI and IoT serves to create intelligent, data-driven systems with several key purposes. It enables real-time data analysis, predictive maintenance, and automation, improving efficiency and personalizing user experiences. Additionally, it enhances security, healthcare, and environmental monitoring, while fostering smart cities and business intelligence. Overall, this integration seeks to revolutionize industries by harnessing data and intelligent algorithms for better decision-making, efficiency, and user benefits.
Jarvis is all about combining the power of Artificial Intelligence (AI) and the Internet of Things (IoT) to make smart systems that can do cool stuff. Imagine your gadgets and devices working together to collect information, think about it, and make decisions. Here's what we're doing: 1. Making Devices Talk: We're connecting devices like sensors and gadgets so they can chat and share information. 2. Personalized Help: It learns from your interactions to provide personalized support. It knows your preferences and tailors’ responses to fit your needs. 3. Works with Your Stuff: It can connect to your devices and online services, making it super handy. 4. Gathering Data: We collect data from these devices, like temperature readings or movement info, and store it. 5. Smart Thinking: We teach our system to use AI to analyze this data. It can learn and make smart choices. 6. Quick Decisions: Our system can make fast decisions based on what it learns. It can control things, save energy, and help in various situations.
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Impact Factor value: 8.226
1.3 Scope The scope of AI assistants is extensive, with applications across customer service, healthcare, education, smart homes, business productivity, e-commerce, automotive, finance, social media, personal health, language translation, accessibility, and more. As AI technologies advance, these assistants are continually evolving, providing users with
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