Faculty Performance Management System

A comprehensive faculty performance management system with AI-powered analytics and insights.

Project Structure

• pms_system/ - React frontend application
• pms_backend/ - Django backend API
• Mandarin-Backend-main/ - AI analytics backend with MongoDB integration

Features

• Faculty performance tracking and analytics
• AI-powered insights and recommendations
• Modern React-based user interface
• RESTful API backend with Django
• MongoDB integration for advanced analytics
• Performance metrics visualization

Tech Stack

Frontend

• React.js
• Modern UI components
• Responsive design

Backend

• Django (Python)
• SQLite database
• RESTful API architecture

AI Analytics

• Python-based analytics engine
• MongoDB integration
• Machine learning insights

Getting Started

Prerequisites

• Node.js and npm
• Python 3.x
• MongoDB (for AI analytics)

Installation

1. Frontend Setup

   cd pms_system
   npm install
   npm start

2. Backend Setup

   cd pms_backend
   pip install -r requirements.txt
   python manage.py migrate
   python manage.py runserver

3. AI Analytics Setup

   cd Mandarin-Backend-main
   pip install -r requirements.txt
   python MongoConnect.py

Contributing

Please read the individual README files in each component directory for detailed setup and contribution guidelines.

License

This project is developed for educational and institutional use.