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smartclass's Introduction

SmartClass

A classroom app made for students and teachers for better interaction. This project was developed during HaXplore, the on-campus event conducted by Codefest, the annual departmental fest of Computer Science department, IIT BHU Varanasi.

Inspiration

Our inspiration is based on our personal experiences at school. Each day of each class, we receive a new lesson and new content to learn. When we have classes consisting of 30 people(or more), there will always be people who do not understand or have questions to ask. However, these people may be shy, or are afraid to ask a question. Students want to learn and teach their students to succeed. However, being shy to ask can prevent students from asking questions or telling what they really understand. Education professionals have been trying to solve this problem for years, so we decided to design our smartkaksha solution

Overview

SmartClass allows student to self report the level of understanding of the topic during the class. Teacher takes attendance to confirm who all are present in the lecture. This app let students share weather they

  • Understood - The topic is clear to the student
  • Repeat - They are not confident enough in the topic and want

It anonymously shares this data with teachers so they can adjust mid-lecture or look back later to see what confused students most.

Technology used

  • Angular 7
  • Node
  • Django
  • SQlite3

Screenshots/Demo Video

Some screenshots :

image image2 image3 image4 image5 image6 image7 image8 image9

Usage

  1. Student and teachers should register to SmartClass app

  2. Teacher mark attendance of students present in the class

  3. Teacher creates a lecture plan and publish it on the app

  4. Student give lecture review which are anonymous and selected Understood or Repeat based on thier understanding

  5. Teacher can see real time review from the students and based on that can repeat a particular topic.

  6. Students can ask their doubts anonymously and if other students also have the same doubt they can upvote it.

AWS Services Used

Our backend is also deployed on a Windows instance EC2 at AWS

Credits:

  • GAURAV BHOLLA
  • ANKIT KUMAR DWIVEDI
  • PRABODH RANJAN SWAIN

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