Logicnest
Authors:-Vishnu R, Dakshith S,Dhishanth G Patel, Abhilash T P
Abstract-:The widespread adoption of Large Language Models (LLMs) has raised critical concerns about data privacy in cloud-based AI systems, where sensitive data may be exposed. Logic Nest introduces a privacy-first application that runs curated LLMs locally, storing all data—chat history, documents, and configurations—on the user’s device. With versions for individuals (V1) and enterprises (E1), Logic Nest ensures secure, intuitive AI interactions for personal knowledge management and enterprise efficiency. This paper presents the design, implementation, and evaluation of Logic Nest, demonstrating its effectiveness in enhancing privacy, user efficiency, and enterprise onboarding. Results show superior installation times, compliance with regulatory standards, and significant efficiency gains, positioning LogicNest as a pioneering solution in privacy-preserving AI.
