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@article{179499,
        author = {J Ravindra Ujwal and Dr. Savitha Hiremath and Shreya Vinod Kumar and Sindhu Vijay},
        title = {Dynamic Bed Availability Tracker for Healthcare using Queuing Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7592-7596},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179499},
        abstract = {This paper presents the design and implementation of a real-time hospital bed allocation system aimed at improving emergency care efficiency in urban healthcare networks. The system leverages queuing theory, geolocation services, and real-time data management to dynamically match patients with nearby hospitals based on bed availability and proximity. Developed using Python, Streamlit, MongoDB, Geopy, and Folium, the platform features two main interfaces: a patient-facing module for booking and a hospital admin dashboard for managing bed occupancy. A key innovation is the integration of a first-aid chatbot using Google’s Gemini API, which offers AI-generated medical advice based on user symptoms, ensuring patients receive preliminary care even before reaching a hospital. The system supports concurrency, secure authentication, and live map visualization, and was evaluated for response time and booking accuracy. Results demonstrate that the platform significantly reduces treatment delays and enhances healthcare coordination during high-demand situations, aligning with smart city and digital health objectives.},
        keywords = {},
        month = {May},
        }