Microplastics have been detected worldwide in marine organisms, water supplies, and even humans, creating increasing concern for environmental and public health. In response to emerging regulations and concerns from Okinawa’s fishing industry, the OIST team is developing Plastitective, a machine learning tool that automates microplastic identification using IR and Raman spectroscopy data. Traditional identification methods require significant time and expert analysis, limiting their scalability and standardization. Plastitective streamlines this process by enabling high-throughput identification, classification, and quantification of microplastics, helping seafood producers and environmental organizations monitor contamination more efficiently while supporting consumer safety and environmental sustainability.