Digital Speech–Language Assessment App with Adaptive Evaluation and Testing

Early identification of speech and language disorders in children is critical for effective clinical intervention and healthy cognitive development. Conventional assessment methods are largely manual, time-consuming, and subject to evaluator inconsistencies. This paper presents a Digital Speech-Language Assessment App with Adaptive Evaluation and Testing, a bilingual mobile-based platform designed to digitize and standardize pediatric speech and language assessment. The system is developed using Flutter for cross-platform deployment and Firebase for secure authentication, real-time data storage, and synchronization. The application supports bilingual assessment in English and Malayalam, making it suitable for multilingual regions. An age-adaptive testing framework dynamically recommends appropriate reception and expression tests based on the child's age and historical performance. Both automatic and therapistassisted manual scoring are supported to ensure clinical flexibility and accuracy. A Language Proficiency Progress Tracker visually monitors long-term developmental trends to assist in personalized therapy planning. The system is designed with strict data privacy and role-based access control to meet healthcare data standards. Initial implementation and testing validate secure therapist authentication, profile management, and age-based test assignment. The proposed system improves assessment efficiency, diagnostic consistency, and accessibility for pediatric speech and language evaluation.