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The LMS is a microservices-based application for scalable and secure learning management. It supports PayHere payments, uses Spring Cloud with Eureka for service discovery, and Spring Gateway for API routing and load balancing. Authentication is secured with JWT and role-based access control. Content is delivered via AWS CloudFront (Signed URLs), with AWS S3 for videos and Nextcloud for documents. Deployment is streamlined using Docker (Jib, GitHub Actions, Docker Compose).

This project is designed to provide customers with a seamless online shopping experience, efficient inventory management for inventory keepers, and streamlined order delivery for delivery personnel.

This Procurement Workflow Management Systems are web app that help organizations streamline and optimize procurement process, typically by automating certain tasks and providing a centralized platform for tracking and managing procurement activities.

This project aims to develop a low cost smart ventilator system that requires minimum professional interaction to operate using Atmega32 Microcontroller

This app is designed to simplify the studying process for GCE Advanced Level students by providing access to a wide range of study materials, including notes, syllabus, and past papers, all in one place. With full support for both Sinhala and English languages, our app is an essential tool for any student looking to excel in their exams.

This repository contains a robust test automation framework using Cucumber, Playwright, and TypeScript for end-to-end (E2E) testing. It supports behavior-driven development (BDD) to make test cases readable and understandable for all stakeholders.

Utilized Geographic Information Systems (GIS) and Google Colab to analyze cellular network coverage in Sri Lanka. Integrated cell tower data, population density, and terrain elevation models to identify coverage gaps and optimize new tower placements. Conducted viewshed analysis, signal propagation mapping, and time-lapse visualization of network expansion.

This project is a Smart Home IoT application integrated with Google Assistant, enabling control of lights via voice commands while also displaying real-time temperature and humidity of the room. It is developed using a Raspberry Pi with a customized dashboard, integrating various sensors, including a temperature and humidity (DHT11) sensor and a light sensor, to monitor environmental conditions and enable automation.

Spotify Clone in React. Used Spotify API ,Tailwind CSS

Uber Clone in React Native. Used Redux, Tailwind CSS ,Google Autocomplete ,Google map integration, Google Places, Directions ,Distance APIs