This project presents a simple Shiny application that predicts the next word based on user input. The model uses a lightweight rule-based algorithm to generate fast and consistent predictions. The app demonstrates how predictive text can enhance typing efficiency and user experience. Potential applications include mobile keyboards, search engines, and writing assistants.

Laporan ini disusun guna memenuhi tugas Mid-Term Examination (UTS) pada mata kuliah Pemrograman Sains Data I di Institut Teknologi Sains Bandung (ITSB), di bawah bimbingan dosen Bapak Bakti Siregar, M.Sc., CSD.

David Jair Prado Caicedo

MDEQ and Virginia Tech have tested drinking water samples in residential areas, testing for lead contamination

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