Smart Phone Based Remote Monitoring Tool for E-Learning
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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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Software Projects Includes
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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
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The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
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- Full Project PPT
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The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.