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Communication Skills Improving Assistance

Authors: Tejas Sayankar; Insiyah Kanchwala; Nikita Mahajan | Sayali Mahajan;

Communication Skills Improving Assistance

Abstract

Virtual Reality VR is a computer technology that generates realistic images, sounds and other sensations that simulate a users physical presence in a virtual or imaginary environment. The proposed system nurtures personal traits of an individual which plays a major role in every sector. The system helps to improve an individuals social, personal, and language skills as well as cures phobia of standing in front of audience. With advancement in technology, we are developing a system on Unreal Engine for creation of various environments as well as 3ds Max for creating Virtual Objects which are been placed. The learner is supposed to be in an environment where he she is been judged while appearing for various rounds. Further, video is captured and uploaded on the system and trainers does the evaluation. Trainers are supposed to suggest area of improvement by commenting on the parameters defined. Regular usage of software enhances skills of the user. The proposed system is a VR based verbal non verbal interactive system for enhancing communication skills based on predefined and planned of greeting scenario. Results in each stage are compared and analyzed to get the clear idea of where the person is lacking. The outcome of this practice test leads to improvement in individuals personality, difficulties raised in each environment results in upgradation of selfdom. Tejas Sayankar | Insiyah Kanchwala | Nikita Mahajan | Sayali Mahajan "Communication Skills Improving Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23748.pdf

Keywords

Unreal Engine, 3ds Max, Virtual Reality, Computer Engineering, Simulated World

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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