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dc.contributor.author Sania Hussain, 01-134221-099
dc.date.accessioned 2026-08-20T04:28:06Z
dc.date.available 2026-08-20T04:28:06Z
dc.date.issued 2025
dc.identifier.uri http://hdl.handle.net/123456789/21604
dc.description Supervised by Dr. Muhammad Usman Hashmi en_US
dc.description.abstract Maidan is an AI-powered football ground booking application developed using Flutter and Firebase, tailored to streamline and digitize the experience of playing football in Pakistan. It solves key issues in the traditional booking process—such as double bookings, lack of availability visibility, and absence of matchmaking—by offering real-time ground availability, AI-based personalized ground suggestions, and a unique Smart Matchmaking system. This feature enables solo players to find and join suitable football games based on location, skill level, and time preferences, encouraging organized casual play and stronger community engagement. Additional features such as in-app chat, push notifications, ground reviews, weather-aware booking, and an admin dashboard for ground managers ensure a comprehensive and user-friendly experience. With a focus on both technology and community, Maidan transforms the way football is played, booked, and enjoyed—making it more accessible, efficient, and social for everyone involved. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-3918
dc.subject Maidan en_US
dc.title Maidan en_US
dc.type Project Reports en_US


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