Faculty Appraisal System

Project Code :TCMAFS133

Objective

To develop web-based faculty performance appraisal system by giving the relevant access to the faculty. To implement data visualization to the data obtained and provide analysis of the appraisal points achieved by faculty.

Abstract

Faculty performance appraisal predominantly relies on paper-based assessments and the manual calculation of points based on a range of factors. These factors encompass cognitive abilities, educational achievements, professional accomplishments, and other relevant attributes that contribute to an individual's intellectual prowess. This traditional approach is undergoing a transformation through the integration of technology, specifically utilizing data analytics techniques. Intelligence appraisal system revolutionizes the assessment of faculty by using data analytics and a dynamic web page. Faculty members log in to provide their achievements through a user-friendly form. The system assigns points to each accomplishment based on predefined weights, offering real-time feedback and visualizations on the final appraisal points.

KEYWORDS: Faculty Appraisal Performance, Data Analytics, Intelligence Appraisal System.

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 REQUIREMENT


Processor                       :   I3/Intel Processor

Operating System         :   Windows 7/8/10

RAM                                 :   8 GB

Hard Disk                        :   500 GB



SOFTWARE REQUIREMENTS:


Database                        : MySQL

Back End                        : Express

Run –Time Environment    : Node

Front End                       : React

IDE                                 : Visual Studio Code


Demo Video

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