Description

This project involves the development of an AI-powered educational technology platform designed to support the early identification and adaptive learning needs of children with numerical learning difficulties, particularly dyscalculia. The system combines gamified assessments, adaptive learning workflows, and multisensory activities to create an engaging, non-stigmatising learning experience tailored to individual users. At the core of the platform is a diagnostic and assessment engine that evaluates numerical skills such as counting, number comparison, and basic arithmetic through interactive game-based tasks. User interactions generate structured data including accuracy, response time, and progression patterns. This data is processed using machine learning models to identify learning gaps and continuously adjust difficulty levels and content pathways based on the learner’s performance. The learning and intervention module dynamically generates personalised activities and challenges to avoid repetition and maintain engagement. The platform also integrates multisensory elements, such as audio-based rhythmic cues and haptic feedback, to reinforce learning outcomes and support cognitive development. These features must be configurable and extensible to support future learning modules. A web-based dashboard will allow parents, educators, or authorised supervisors to track progress, view reports, and monitor learning trends over time. The system should support role-based access, secure authentication, and data privacy controls. Scalability and compliance with data protection standards must be considered from the outset, especially given the sensitivity of child-related data. From a technology perspective, the project requires experience in frontend development using modern JavaScript frameworks, backend development with API-driven architectures, and machine learning integration for analytics and adaptive logic. The solution should be cloud-native, modular, and designed for maintainability, with a focus on performance, security, and future extensibility. Overall, the platform aims to transform numerical learning support by combining AI-driven insight, adaptive education, and engaging user experience, delivering measurable learning outcomes while reducing manual assessment effort for parents and educators.

Goals

Skills Required