The primary objective of the Professor Performance Points Tracker is to develop a robust and user-friendly web application that enables professors to systematically track, manage, and visualize their academic performance throughout the year. It aims to provide features such as adding custom fields, assigning points, maintaining a year-wise performance record, and offering insightful data visualization through charts and tables, promoting self-assessment and facilitating professional growth.
The Professor Performance Points Tracker is a web-based application developed using the MERN stack (MongoDB, Express.js, React.js, and Node.js) to help professors track and manage their academic performance throughout the year. The system allows professors to add custom fields representing different academic activities, such as research publications, conferences attended, or administrative duties. Points can be assigned to these fields based on their relevance or significance, enabling a comprehensive evaluation of performance.
The application provides complete CRUD (Create, Read, Update, Delete) functionality for managing gained points and visualizes the data through tables and interactive charts. Users can view year-wise performance trends and analyze their progress across various academic activities. Features like registration, login, and profile management ensure a personalized experience for every professor, maintaining data privacy and security.
This platform serves as an efficient tool for professors to maintain a detailed track record of their achievements and contributions in an academic year. By offering insights through data visualization, the project aims to promote self-assessment and help professors plan for continual professional development.
Keywords: Data Visualization, Self-Assessment Tool, Academic Performance Tracking
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Β· Hard Disk 160GB
SOFTWARE SYSTEM CONFIGURATION: -
Β· Operating System : Windows 7/8/10
Β· Server side Script : Express js
Β· Programming Language : TypeScript
Β· IDE/Workbench : VS Code
Β· Database : Mongodb
Β· Clint Side : React js