FontNet

FontNET is an AI-driven platform that enables seamless translation of custom fonts from Latin to Cyrillic scripts. Designed with usability in mind, FontNET serves designers, linguists, and content creators who need to adapt fonts for multilingual audiences while preserving their unique stylistic elements.

In this project, I worked collaboratively with a team consisting of two AI engineers and a team lead, using Git for version control and adhering to Agile methodologies to manage our workflow and iterations efficiently. My primary responsibility was developing the front-end application, creating an intuitive interface that allows users to explore FontNET’s features, upload their custom fonts, and retrieve the translated versions after processing. The front end was built with a focus on simplicity and user experience, enabling a streamlined journey from upload to download.

To support the functionality between the front end and the AI model, I also developed an intermediate API. This API handles user requests, manages the communication between the front end and the AI model, and implements a caching mechanism to store previously translated fonts, reducing processing times for repeat users and optimizing the overall user experience.