• Mr. Navis M
• Ms. Nisha Ebarila J
• Mr. Patrick Samuel
• Ms. J. Limsa Joshi

a system has been proposed whereby the voice inputs will be received by a UI, processed by an ANN back end, and the voice outputs will be delivered back to the user through the UI. In the initial stages of development, the voice outputs would only be produced correctly if the corresponding inputs had already been previously entered before. In order to increase the efficiency of the system, AI was implemented into it so that no matter the input, an appropriate output would be produced accordingly. To make this idea feasible, the concept of Artificial Neural Networks was introduced. Now, even if prior knowledge of the input is not available, the system can still produce the appropriate output based on its analysis of similar inputs. This is similar to the functioning of the human brain. The aid of the open-source software library TensorFlow has also been made use of to help construct the multi-layered neural networks that will us train the system and produce the required outputs.

Communication Skill Development, AI, ANN, neural networks, TensorFlow.

"ARTIFICIAL INTELLIGENCE BASED COMMUNICATION SKILL DEVELOPMENT ASSISTANT FOR SCHOOL CHILDREN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.81-85, August-2020, Available :http://www.jetir.org/papers/JETIREF06012.pdf

"ARTIFICIAL INTELLIGENCE BASED COMMUNICATION SKILL DEVELOPMENT ASSISTANT FOR SCHOOL CHILDREN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp81-85, August-2020, Available at : http://www.jetir.org/papers/JETIREF06012.pdf