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AI for Good Innovate for Impact



                          Use Case 9: Developing an AI-powered translation app to improve

                      workplace safety at construction and shipbuilding worksites














                      Organization: Crowdworks AI

                      Country: South Korea

                      Contact Person(s): 

                           Sue Kim, hs�kim@ crowdworks �ai 
                           Jung ho KIM, kimjuh@ crowdworks �ai
                           Jeong Yeon KIM, waymaker@ crowdworks �ai 


                      1      Use Case Summary Table

                       Item                    Details

                       Category                Productivity

                                               South Korea’s construction industry employs over 100,000 foreign
                                               workers, a number that continues to grow. However, existing transla-
                                               tion and interpretation tools are often inaccurate and fail to recognize
                       Problem Addressed
                                               the slang and terminologies commonly used on construction sites—
                                               leading to communication breakdowns and increasing the risk of
                                               serious accidents.
                                               The solution enables seamless real-time communication between
                                               workers at construction and shipbuilding worksites. Unlike the trans-
                                               lation services currently available at the market, Crowdworks AI’s
                                               solution accurate translates industry jargon, thereby preventing
                                               safety hazards. The solution utilizes below technologies:
                       Key Aspects of Solution
                                               •  Multilingual corpus collection for construction and shipbuilding
                                                 domain-specific translation model training
                                               •  Fine-tuning Gemma-2-9B-IT model [3]
                                               •  Applying PEFT via LoRA for efficient model training
                                               •  In-context learning and prompt engineering

                       Technology Keywords     LLM, Building Domain-Specific Datasets

                                               Public (Glossary of National Construction Standards [1] by the Minis-
                       Data Availability       try of Land, Infrastructure and Transport (MOLIT)) + Private data from
                                               Korean construction sites
                       Metadata (Type of Data)  TEXT

                       Model Training and      Fine-tuning, Prompt-Engineering
                       Fine-Tuning






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