Ambient Intelligent System for Appointment Management
Akash R Prabhu, K. Vaisakhkrishnan, S Sree Pranavi, Sk Shriyah, V. Anantha Narayanan · 2024
In today’s fast-paced world, efficient management of appointments is crucial for both service providers and consumers. Efficient appointment management is essential in the modern service industry to enhance both operational efficacy and client satisfaction. This project report presents the development of an Ambient Intelligent System (AIS) for Appointment Management designed to optimize the handling of appointments in dynamic environments. Utilizing Bluetooth technology, the AIS efficiently manages both scheduled and ad-hoc appointments by detecting user presence via ESP32 micro-controllers. This system dynamically adapts to changing conditions, prioritizing appointments based on real-time data to minimize wait times and enhance user experience. The comprehensive architecture includes mobile applications for users and administrative staff, backend services, and a robust database system to ensure real-time synchronization and responsiveness. This study evaluates the AIS’s performance in streamlining appointment processes, demonstrating significant improvements over traditional methods in both efficiency and user satisfaction.