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@article{180234,
        author = {G. Balamurugan and Praveen Kumar S},
        title = {Turf Booking with AI Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {681-684},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180234},
        abstract = {The efficient management of sports turfs is 
critical 
for ensuring optimal usage, reducing 
maintenance costs, and enhancing user satisfaction. 
Traditional methods of turf management rely heavily 
on manual intervention, which often results in 
inconsistencies, resource wastage, and poor planning. 
This 
project 
introduces 
an intelligent Turf 
Management System that integrates weather 
prediction, booking automation, and data-driven 
decision-making to streamline turf operations. 
Developed using Python, Django, and Rasa, the system 
leverages real-time weather data through the 
OpenWeather API to provide accurate scheduling 
recommendations and assist users via an AI chatbot. 
The platform includes modules for user authentication, 
turf availability tracking, automated booking, and 
personalized weather-based advisories. Data is securely 
stored using SQLite, ensuring lightweight yet efficient 
database management. By eliminating the need for 
hardware sensors, the system remains cost-effective 
while still delivering reliable predictions through 
manually curated datasets. This approach not only 
optimizes the operational workflow but also promotes 
transparency and accessibility for turf managers and 
end-users. The proposed solution demonstrates 
significant potential for scalability, adaptability, and 
real-world implementation across recreational and 
professional sports facilities.},
        keywords = {Turf Management, Sports Facility  Automation, Django, AI Chatbot, Rasa, Weather  Prediction, OpenWeather API, SQLite, Smart Booking  System, Machine Learning, Web Application, Sports  Technology.},
        month = {June},
        }