Q CLASSROOM

Project Overview

Q CLASSROOM is a Learning Management System (LMS) designed to make the teaching and learning process more efficient.
It allows students to view their course syllabus, subjects, and assigned teachers, while teachers can upload video lessons and manage students.
The platform was developed for QUEST Innovative Solutions to overcome the limitations of sharing study materials through platforms like Gmail Drive.

This centralized system simplifies video sharing, syllabus management, and communication between admins, staff, teachers, and students.

---

Features

1. Admins

• Approve new staff, teachers, and students.
• Delete teachers, students, staff, and uploaded videos.

2. Staff

• Add new syllabus content.
• Edit staff details.

3. Teachers

• Upload new video lessons.
• View assigned staff.
• Edit student and teacher details.

4. Students

• View syllabus.
• Watch video lessons.
• See assigned teachers and subjects.

---

Technologies Used

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Django (Python)
• Database: SQLite3
• IDE: VS Code

---

System Requirements

Hardware

• Processor: Minimum 2.0 GHz Pentium or higher
• RAM: 2 GB or higher
• Storage: 500 MB free space

Software

• VS Code (or any Python IDE)
• Python 3.8+
• SQLite3 (bundled with Python)
• Git (optional for version control)

---

Setup & Installation Guide

To make running this project easier, a requirements.txt file has been included.
This file was generated using pip freeze and contains all the exact versions of dependencies used in this Django project.

Follow these steps:

1. Create Project Folder (Linux)

mkdir Qclassroom
cd Qclassroom

2. Create Virtual Environment (On Windows)

# Create virtual environment
python -m venv venv

# Activate virtual environment
venv\Scripts\activate

On Linux / macOS

# Create virtual environment
python3 -m venv venv

# Activate virtual environment
source venv/bin/activate

3. Install Dependencies

• Once inside the virtual environment, install required packages:

pip install -r requirements.txt

4. Run the Project

• Navigate to the Django project folder (qproject) and run:

python manage.py runserver

Notes

Always activate the virtual environment before running the project. To deactivate:

deactivate

If any new packages are added, update requirements.txt with:

pip freeze > requirements.txt