A learning mobile application and image recognition for children

In an increasingly digital world, particularly during the COVID-19 pandemic, technology has become essential, with online classes emerging as the new norm. Many children aged 2 to 6 have had limited exposure to traditional classroom settings due to these changes. In response, an educational mobile application has been developed to help young children engage with various subjects and complete assessments using technology. The project aims to teach foundational skills such as spelling and pronunciation of shapes, letters, numbers, and colors while providing an enjoyable and interactive learning experience. This application is expected to significantly enhance children's understanding of these topics in a creative and entertaining environment. To ensure quality and efficiency in development, the Iterative Waterfall Methodology was employed, facilitating early feedback and error detection in the initial phases of the project before advancing to later stages. The application offers age-appropriate educational modules tailored for different age groups, ensuring content differentiation from basic shape and color recognition for 2-3-year-olds to advanced skills like addition and sentence reading for 4-5-year-olds. With integrated assessment activities, text-to-speech features, and image recognition capabilities, it effectively meets developmental goals and has been positively received by users.