Table Teacher: Voice Based Application for Learning Tables using Amazon Alexa
Chinmay Subray Bhat

Chinmay Subray Bhat, Department of CSE, PES University, Bengaluru, India.

Manuscript received on December 13, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 1717-1722 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8671019320 /2020©BEIESP | DOI: 10.35940/ijitee.C8671.019320
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Abstract: With the evolution of sophisticated NLP algorithms and cloud based solutions, virtual assistants started to reach every home and office in the city. This paper proposes a technique for teaching basic mathematical tables for kids. The device will ask the questions and expect the answer in number format in return. The input received from the kid will be processed and validated. In case of correct answer, the next question will be asked. If answer is wrong, the kid is suitably notified. This ability to interact with the device in natural form like voice would keep the kid engaged to the process of learning. Proposed skill is available for enabling for all the echo family users and the result of customers using the skill is analyzed. The skill used AWS server less service Lambda as backend and Amazon Voice Service for front-end. 
Keywords: Amazon Alexa, Virtual Assistants, Voice User Interface, Education, AWS, Lambda, Smart Speakers, AVS, Voicebot, Internet of Things
Scope of the Article: IoT Applications for Smart Cities