Developed a multilingual transcript cleaning feature for the cjpais/handy repository, focusing on preserving the original language of transcripts during the cleaning process. This enhancement was implemented by adding a prompt rule to the existing cleaning pipeline, ensuring that multilingual content is retained accurately for downstream analytics and natural language processing tasks. The work leveraged Rust for back end development, emphasizing data integrity and consistent handling of diverse language inputs. By addressing the requirements outlined in issue #316, the solution improved the quality of cleaned transcripts, enabling more reliable analytics and supporting robust multilingual data workflows within the project’s infrastructure.