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Design of Intelligent Energy Meter with IoT-Based Power Theft Detection
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A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence
by Bhagyashree Sanjay Deshmukhe , Manasi Mahavir Kurade , Arpita Dhanpal Devmore , Prasanna Sanjay Adake , Girish Rahul Bhosale , Shrenik R. Patil
International Journal of Technology & Emerging Research 2026 , 2 (4) , 216–226
10.64823/ijter.2604025Abstract
This paper introduces a smart, privacy-focused AI assistant designed to simplify everyday digital tasks while keeping user data completely secure. Unlike traditional assistants that rely on cloud services, this system runs entirely on local infrastructure, ensuring sensitive information never leaves the user’s device. It combines three powerful capabilities into one unified platform: natural conversational interaction, legal guidance based on Indian laws, and intelligent document understanding for tasks like summarization and question answering. Built using locally hosted large language models, the assistant offers a seamless, all-in-one solution for both individuals and organizations. Experimental results show that the system performs efficiently with acceptable response times, making it a practical and secure alternative to existing AI assistants.
Keywords: Artificial Intelligence, Privacy-Preserving AI, Local LLM, Conversational AI, Legal Advisory System, Document Intelligence, Ollama, LLaMA, Natural Language Processing, RAG, Flask API, On-Device AI
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