CRISPR–Cas systems have emerged as powerful tools for precise genome editing, relying on short guide RNAs (gRNAs) that direct Cas nucleases to specific DNA targets adjacent to protospacer adjacent motif (PAM) sequences. Despite their widespread application, the fundamental concepts of guide RNA selection, PAM recognition, and target evaluation remain challenging for students and beginners in biotechnology and bioinformatics. To address this, an educational web-based application was developed using the Streamlit framework to demonstrate the basic computational workflow involved in CRISPR guide RNA design. The application enables users to input DNA sequences manually or through FASTA files and select different CRISPR Cas systems derived from various bacterial species, each associated with distinct PAM require-ments. Based on the selected Cas system, the tool scans the input sequence to identify valid PAM sites and extracts cor-responding upstream guide RNA candidates. Each guide RNA is evaluated using simplified heuristic parameters such as GC content, self-complementarity, and intra-sequence similarity to provide an introductory understanding of guide quality assessment. The results are presented through interactive tables, graphical plots, and a color-coded sequence visualization highlighting guide and PAM regions. This application is intended strictly for educational and demonstration purposes and does not provide experimental-grade predictions. Overall, the tool offers an intuitive and interactive platform to enhance conceptual understanding of CRISPR targeting principles, genome editing mechanisms, and introductory bioinformatics analysis for students.

CRISPR-Cas System, Guide RNA, PAM Sequence, Bioinformatics, Streamlit, Genome