DIY IoT Physics Experiments for education: Enhancing Remote Learning and Experimentation

This project is an extension of previous work in GSoC 2023. The existing version has many problems, such as a laboratory management tool and the need for code optimization in various programs. To solve this, I plan to implement a remote laboratory management system that will be developed to facilitate scheduling and access control for students. Additionally, a robust database and logging system will record sensor data generated during experiments, enabling analysis and reference. Furthermore, the existing codebase will be optimized for faster connections and a smoother user experience. The deliverables of this project include: Database functionality for recording user data. Remote laboratory management system for efficient scheduling and access control. Code optimization for improved performance. Upon successful completion, this project will significantly improve the educational platform's functionality, usability, and performance, thus enhancing the learning experience for users.