Chuti Teacher – AI-Based Education Mobile Application

Stage 1: User Research

In the initial research phase, I explored the needs of both general students and those with disabilities to create an inclusive learning experience. Interviews with teachers, parents, and students helped identify pain points in traditional education systems, particularly in terms of accessibility and learning pace. The research also focused on how AI technologies could be leveraged to provide customized learning experiences. I examined the current gaps in the market, particularly for students who rely on sign language, and how AI-based animations could address these needs.

Stage 2: Ideation & Conceptualization

From the insights gathered during research, I ideated the core functionalities of the Chuti Teacher app. The main goal was to create an AI-based learning platform that is adaptable to each student’s pace and provides equal opportunities for students with disabilities. The concept included animated AI teachers who could teach in sign language and answer student queries individually, without interrupting other learners. This customization ensured that students with unique needs could learn at their own speed, using a fully accessible and engaging platform.

Stage 3: Design Execution

• Wireframing: Developed low-fidelity wireframes to outline the app's structure and user flow, focusing on easy navigation and accessibility.

• Prototyping: Created interactive prototypes to simulate the AI teacher and sign language features, testing usability and responsiveness.

• UI Design: Designed a vibrant, user-friendly interface that catered to students of all ages, with special attention to accessibility, including color contrast and iconography.