An AI Smart Movie Ticket Booking and Recommendation Platform

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@article{1715224,
      author = {Kavitha M, Sayanda Rayaroth Velluva, Meera Jasmine B, Kamaliga T},
      title = {An AI Smart Movie Ticket Booking and Recommendation Platform},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {1459-1465},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715224.pdf},
      abstract = {Remember when going to the movies meant standing in a long line at the box office? These days, buying tickets online is way easier, but most sites still feel pretty generic. They push the same big movies to everyone, leave you to figure out the best seats, and sometimes even double-book the same spot. Clearly, there’s room for something smarter. That’s where this new AI-powered booking platform comes in—one that actually pays attention to what you like. Instead of just showing what’s trending, it learns your tastes and suggests movies you’ll probably want to see. It even checks out the theater layout and your past choices to recommend the seats you’ll like best. There’s a chatbot, too, so you can book tickets just by chatting—perfect if you’re in a rush or not a fan of clunky web forms. The toughest part? Making sure nobody can grab the same seat at the same time. The team nailed this with a smart seat-locking system that holds your spot while you decide. Under the hood, it’s all built with React for the front end, Node.js running the main show, Python crunching the recommendations, and MongoDB storing the data. Early tests show that the recommendations hit close to 78% accuracy, and the seat-locking works smoothly—even when hundreds of people are booking at once.},
      keywords = {Movie Booking, Artificial Intelligence, Machine Learning, Recommendation Systems, Chatbot, Seat Optimization},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715224}
  }