Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms

Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms

₹5,500.00
Product Code: Java - Machine Learning
Availability: In Stock
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Product Description

Aim:

            To ease the process of attendance during online classes and to prevent malpractice during online assessments. 

Abstract:

          Today’s pandemic situation has changed the way of education to students. Education system had completely undertaken by online platforms. There are many platforms that provide services to schools, colleges and other educational intuitions. In addition to the online teaching, examination also has gone online. In this online education system, it is important to monitor the students presence i.e., attendance of the students, which plays vital role in making system. Even though educational institutions have adapted to online mode which is done through online portal, it is very challenging for staffs in taking attendance for a students. With the integrated webcam in online portals we can monitor the activities of students and malpractices done by them. But the attendance of the students is quite difficult and it is done manually by staffs by just seeing who are all in the streaming video. This can be bridled by face detection and recognition techniques using KNN algorithm. With this integration we can extract a facial feature vector which is otherwise known as embeddings and train it using Python Face Recognition Library, then identify the faces of the students before entering into examination dashboard. If it is matched the attendance system auto updates the presence of the particular student and we can also find the attendance percentage of the students, which is useful in analyzing the willing percentage of the students to write the exam online.

Proposed System:

          In our prototype we implement Python Face Recognition Module to train the Face Images. We use KNN algorithm to analyze the nodes in face image then marks the patterns in various images which is taken in different angles. These images get trained as  models in python server. We develop a web application as our ground work to mark student’s attendance during Online Exams. We develop with AJAX Api calls java-script functions to get our response and request more responsive. The status of the application and all details of student will be stored and retrieved from MYsql Database Server which is maintained periodically. We implement JDBC connection in java Servlet to access our database. All the requests are sent to the Backend Business Logics which is written in Java Servlets using J2EE technology.


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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.