Whip-Smart
Keywords:
Kids, E-learning, CNN, Machine Learning, Data AnalysisAbstract
Whip-Smart is an E-learning application designed for the kids of 2-7 years of age. Usually the kids of these ages do not have a good attention span. To grab their attention and to be able to educate them can be a difficult task for both parents and teachers. This age forms the most important part of their life as the foundation for future studies is based on what they learn in their early years. Hence it becomes more important to educate the kids in the best possible way and make them understand every concept very clearly. This application is designed keeping in mind the same views about children’s education. The children of different ages are assigned with a series of day-to-day tasks pertaining to their age that they’re supposed to complete. On successful completion they’re rewarded and their performance throughout is recorded. The detailed report of the child’s performance is available for the parent to view. The application is designed in such a way that it is user friendly. The tasks are designed with animations and interactive learning is ensured to make it more interesting for the child. Various areas of study for pre-school learning are covered. Data integrity and security are ensured. Due to the pandemic situation and lockdown in various parts of the world, the most affected are the kids of these ages as they require more care and attention while learning. And in various parts of the world where availability of good education is in itself a huge privilege, a pre-school education tool like this serves the purpose of providing quality education and preparing the children of today for a better future with good knowledge and understanding.
References
- Olisah Kingsley S, Mohamed Ismail Z “Web Based E-learning System for Pre-school Kids .2020”. [online] Available at: https://www.researchgate.net/publication/319360301_Web_Based_Elearning_System_for_Pre-school_Kids.
- Jyoti Shinde, Chaitali Rajput,Prof. Mrunal Shinde, Prof. Milind Rane “Handwritten Digit Recognition” vol 2 issue 2. IJTRSD publications. Ijtsrd.com.2020. [online]Available at http://www.ijtsrd.com/papers/ijtsrd8384.pdf
- Glad Chinda “How To Build a Text-to-Speech App with Web Speech API” Published onDecember 12, 2019
- Convolutional Neural Network [online] Available at: https://deepai.org/machine learning-glossary-and-terms/convolutional- neural-network
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