Design And Implementation Of Automatic Content Delivery System For Virtual Classes

Abstract

The time-consuming, traditional approach of teaching with chalk and boards has recently given way to smart classroom instruction that uses digital gadgets such as computers, speakers, projectors, and many others. These tools enhance student-teacher engagement, but most institutions are still hesitant to implement digital technology because of the expense. Additionally, the traditional approach of recording classes necessitates that teachers participate and be available at the computer to browse through the slides, taking time away from the scheduled time slot. The major goal of this work is to develop and deploy a low-cost technology-assisted approach that improves service teaching by making efficient use of instructional time. The suggested system consists of Raspberry Pi, a low-cost device with a single controller. The goal of this study is to create a virtual education system to improve on-campus learning. Even though virtual classrooms and online learning are becoming more and more popular, several issues still need to be resolved, such as the restricted audio and video bandwidth, poor strength and durability, poor collaborative work, and limited evaluation during virtual classroom sessions. The design and execution of a classroom - based system that emphasizes cooperative learning involving students and instructors at distant places are shown in this project. To display the PPT material, the system was created and hosted online using the flask web server.

This PPT uses a Raspberry Pi 4 to play back the information and show it. We Loaded every software such as text to speech, Image extraction and also automatic video play option with audio background according to our requirement. The Raspberry Pi loaded Python software to complete this operation. Python is a dynamically semantic, interpreter-based, object-oriented, high- level programming language. Python's straight forward syntax prioritizes readability and makes it simple to learn, which lowers the cost of programmed maintenance.

Newest Slightly elevated Quad-Core 64-bit Qualcomm 2711, Helix A72 processor capable at 1.5GHz, is installed in the Pi 4 B. This is intended to perform 90% better or use 20% cheaper power than the previous model. With brand-new 1GB/2GB as well as 4GB LPDDR4 SDRAM versions, Dual-band optimized features and 5GHz, ieee 802 b/g/n/ac wireless LAN, and PoE functionality through a separate PoE HAT, the Pi4's hardware has been upgraded for quicker performance.