The tool addresses bottlenecks in potato breeding by using artificial intelligence to support the selection and optimization of varieties. Buba was recognized for its potential to accelerate the development of resilient potato varieties under climate and disease pressures. Potato breeding typically requires long timelines, with manual trait evaluation, cross-breeding, and multi-season field trials. Buba integrates predictive modeling and data insights to shorten cycles and improve targeting of crosses. It reflects the hackathon's emphasis on germplasm dataset completion and predictive modeling for yield and nutritional quality.