Nipuna Shanthidewa

A web-based system with two-factor authentication (2FA) and user management. I developed the system, which has multiple levels of users and groups with different privileges. Users can create custom surveys with different types of questions, such as text, numbers, MCQs (radio, dropdown, and checkboxes), and range sliders, similar to Qualtrics or SurveyMonkey. Surveys can be shared with different groups or users, and the information collected is sent through a chain of approvals to verify its quality and accuracy. The information collected can then be used to generate real-time, dynamic charts and dashboards.

Web-based applications for university faculties to manage, control quality, and monitor their offerings based on the integrated curriculum framework and to support a more granular level of program analysis for accreditation. I developed the tool for mapping different components (academic objects) with learning outcomes, capabilities, and customizable mapping rubrics, representing standards, graduate capabilities, and accreditation criteria. I also developed the custom selector input to select mapping between each component.

The system has different levels of users, such as super admins, faculty admins, course admins, and guest users. Anyone in the university network can log in to the system and get an idea of the contribution of each and every course and assessment toward the final outcome or standard accreditation criteria.

A web-based lab application tool I developed for the photovoltaics and renewable energy course at UNSW. Tutors divide students into groups and are assigned solar sensors. These solar sensors send data directly to the tool via cloud services. The system provides data filtering, data visualizations, data storage, and data export facilities, enabling students to carry out the practical work for the course.

This is associated with the flagship MOOCs in Coursera to provide personalized recommendations to learners. It uses Qualtrics as the activity engine, and it bridges the coursera.org course (LTTO) by tracking the activities completed and responses to offer recommendations. It also enables students to crowdsource resources for the course and helps teachers update the existing database of resources when they get outdated or become dead links, as students can report, rate, and upvote the quality of resources. System admins get daily reports that help them manage activities.

A web application that enables students to practice foreign languages. Instructors can create modules, exercises, assets, and customized learning activities. As a peer and tutor evaluation system, the system was set up to enable AI-based assessment. Students perform practice exercises and submit their version to the system, then teachers can review submissions and peer reviews of submissions.

A cross-platform mobile application to manage the tasks of engineers at Siemens Energy. I developed the application for assigning tasks and tracking their progress. Engineers can sync with the central office and report their progress and managers can make decisions based on the status of engineers' duties.

A POC for an inventory management system for Siemens TCTP. This POC was proposed as a solution for a problem at Siemens that required employees to carry around their laptops in warehouses to collect orders. I implemented a mobile-based warehouse inventory management system that improved the efficiency of warehouse workers. It's a cross-platform mobile application solution for both Windows and Android mobile devices. I added inventory barcode scanning capabilities to the smartphone application, and offline capabilities allowed users to pick their orders without a network connection and submit them to the central server when a connection was available.

A web-based chatbot that acts as a tutor, which I developed as a final-year project for my master's degree. The learning experience is designed to aid students who are struggling with course content and provide admin-related materials. The bot provides extra reading materials, such as textbooks, chapters, and sections. If students' answers are still unacceptable, they can post questions for staff members to answer manually. The application extracts information from textbooks, online resources, and courses, and implements the knowledge base on top of AWS Elasticsearch.