Secure Full Stack Architecture for Remote Education Platform
Author :
Tushar Saini, Prince Sharma, Pranav SainiJourna Name:
International Journal of Science, Engineering and Technology Volume:
14 issue:3 Year:Volume-14-issue-3 Views : 52
Abstract:
The need for safe, scalable, and effective remote learning platforms has grown due to the quick expansion of online education. Conventional e-learning systems frequently encounter issues such low scalability, unapproved access, data security flaws, and ineffective user-server communication. In order to give students, instructors, and administrators a dependable and secure online learning environment, this project suggests a Secure Full Stack Architecture for a Remote Education Platform. Modern full-stack technologies, such as Next.js for the frontend, Laravel PHP for the backend, PostgreSQL for database administration, and cloud-based services for scalable storage and deployment, are used in the development of the platform. To improve the entire learning experience, extra features including online course management, assignment submission, video-based learning, attendance tracking, progress monitoring, and real-time communication are incorporated. In order to handle numerous concurrent users while safeguarding sensitive data, including user credentials and course-related information, from cyber-attacks, the suggested architecture places a strong emphasis on security best practices, scalability, and performance optimization. The system seeks to offer a secure, effective, and user-friendly remote learning option appropriate for contemporary digital learning settings.