NBA and NAAC Management system

Project Code :TCMAPY684

Objective

The main objective of the project is to do a management system to maintain the data for NBA and NAAC systems.

Abstract

In view of the insufficiency that the construction of the college student data management system cannot be processed based on the evidence theory, a kind of method for the construction of the college student data management system that is dependent on the association rule algorithm is put forward in this paper, which aims to solve the problems in the construction of the college student data management system and so on. Based on the association rule algorithm, the pre-processing of the college student data management system is established. In addition, dependent on the characteristics of the association rule algorithm, the related centroid is calculated, and the centroid is taken as the representative information of the cluster. The basic probability assignment is carried out in accordance with the generalized triangular fuzzy membership function, and the evidence is formed after the assignment, thus completing the construction of the college student data management system. The simulation results show that the method put forward in this paper is effective and can be used to carry out reasonable evaluation on the college student data management system.

Keywords- College, Student Data Management System, Evaluation

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware:

  • Operating system  :  Windows 7 or 7+
  • RAM:  8 GB
  • Hard disc or SSD :  More than 500 GB  
  • Processor  :  Intel 3rd generation or high or Ryzen with 8 GB Ram

Software:

  • Software’s :Python 3.6 or high version
  • IDE     :  PyCharm.
  • Framework  : Django, HTML, CSS, JS

 

Learning Outcomes

  • What are the soil parameters?
  • what is Ph value?
  • Crud operations.
  • How Internet Works.
  • What type of technology versions are used.
  • Use of HTML, CSS on UI Designs.
  • Data Parsing Front-End to Back-End.
  • Working Procedure.
  • Introduction to basic technologies used for.
  • How project works.
  • Input and Output modules.
  • Frame work use.
  • Python modules.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

Demo Video

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