Smart Phone Based Remote Monitoring Tool for E-Learning

Smart Phone Based Remote Monitoring Tool for E-Learning

₹5,000.00
Product Code: Java - Android
Availability: In Stock
Viewed 1212 times

Product Description

Aim

          To monitor the student’s attention on their school activities and to make the remote learning methods more effective.

Abstract

 

            Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. To analyze the degree of attention of the students of each instance,  it needs to be trained using machine learning algorithms. By using this algorithm, we can monitor the activities of the students and provides results to their parents based on the degree of attention of each and every student.

Proposed System

 

          In this system, we propose a remote learning system and make it more efficient and more useful for parents, students and staffs. The staff will register their details. The Admin have to give permission for the registered staff to proceed with their login process. If the admin reject a staff, then that staff will not be accessible with their further process. The authorised staff will proceed their process after logging in. They will add the students along with their personal details who are under his/her class. Then the staff will upload tasks or activities under courses with any number of selected students who need to attend those activities. The students will register with their android mobile phone. Once the course get started, mail will be sent through their parent’s email. After getting mail, students will login using their registered email and the password which gets generated while staffs adding students and it will be sent through the parent’s email and the student will start the activity. After completing every activity, the image-based evidence and the video of student while doing activity(attention video) will be saved. The staffs can view the created courses and activities. The students who are added in the activity will get displayed inside that activity. For every activity, the staff can view the performance of the student i.e., the image-based evidence  after their activity completion. The attention will get calculated using the attention video in python. After viewing the evidence and the percentage of attention, the staff will enter the mark based on their evidence and attention. Finally, the result will be sent to the parents.

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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.