Paper Title
SMART INDOOR NAVIGATION: A MODERN APPROACH

Abstract
Abstract - This research paper presents a modern digital approach to help users navigate within indoor environments. It leverages efficient path-finding algorithms and utilizes existing networks. This research has been conducted on a simulated indoor environment of a large supermarket. The aim here is to enhance the shopping experience by providing customers with efficient and personalized navigation assistance. This is done by integrating indoor navigation techniques, path-finding algorithms, visual assistance features, and in-built user feedback mechanisms to deliver a personalized user-friendly web-based service for both store owners and customers. This web-based service is supported by the existing store networks to provide every customer a login-free platform. Store owners can adapt and personalize this framework to their needs saving customers the hassle of enrolling to multiple store specific services. The navigation techniques include features like item search, checklist integration, and optimized route generation. An enhanced algorithm is used to avoid congested paths, allowing users to easily locate desired items and navigate through the store. The store servers collect data for analysis using an in-built feedback mechanism. This data offers valuable insights to store owners about customer behavior, preferences, and popular areas and items within the store. Overall, the proposed solution has the potential to revolutionize indoor navigation, offering improved efficiency, convenience, and a satisfactory customer experience. Keywords - Indoor Navigation System, Large Supermarkets, Dynamic Checklist, Visual Assistance, In-Built Data Analytics, Network-Enabled Login.