This research developed a digital platform based on automatic learning and natural language processing with the aim of contributing to the gastronomic positioning of restaurants in Cuenca, Ecuador. The proposal responded to the need to have objective and technical tools as an alternative to the prevailing subjectivity in commercial platforms. An evaluation matrix validated by gastronomic experts was built, and data obtained through surveys, interviews, observations and semantic analysis of opinions on social networks were integrated. The methodology adopted a mixed approach that allowed combining technical criteria with user perceptions. As a result, a functional, accessible and user experience-focused mobile application was validated, which allowed to generate reliable recommendations and promote local culinary diversity. The platform aims to improve the visibility of restaurants in the city of Cuenca, contributing to the recognition of the city as a benchmark for innovation and sustainability in the national gastronomic scene. In addition, the database generated allowed the identification of quality patterns, consumption preferences and opportunities for improvement. It was evidenced that the integration of technology and technical criteria is key to professionalize the sector, promote sustainable practices and encourage gastronomic tourism. The experience developed offers a prototype that can be implemented locally and nationally.