RANINDU
AMARASINGHE

MacNest is a modern macOS package manager designed to simplify developer environment management through a native-style desktop application. Built with Tauri 2, React, TypeScript, and Rust, it provides a graphical interface for discovering Homebrew packages, managing installed development tools, tracking package management activities, and reviewing available updates. Featuring a clean macOS-inspired interface with light and dark appearance support, MacNest aims to make developer tool management more accessible without relying entirely on terminal commands.

BusBuddy is a real-time bus tracking and transport management platform built with Spring Boot, MongoDB, and WebSocket (STOMP). It provides secure REST APIs, JWT-based authentication for administrators, live bus location tracking, and real-time communication between administrators, transport companies, drivers, and mobile applications. The platform helps streamline transport operations through real-time location updates, centralized management, and instant notifications.

A smart system monitoring and automation platform built with Spring Boot, n8n, and Telegram. It enables real-time monitoring of CPU usage, storage capacity, and background processes, with automated notifications and system management workflows.

A local-first, privacy-focused Retrieval-Augmented Generation (RAG) system for secure document analysis. Built with Spring Boot, Ollama, and n8n, it enables users to analyze documents using locally hosted large language models while prioritizing data privacy and minimizing reliance on external AI services.

An AI-powered API documentation and dynamic mocking engine built with Spring Boot and MongoDB. The platform aims to simplify API development by generating documentation and providing dynamic mock endpoints, helping developers test integrations and accelerate development workflows using AI-powered capabilities.

An AI-powered resume screening backend built with Spring Boot and Spring AI. The system analyzes resumes against job descriptions to evaluate candidate suitability, identify relevant skills, and provide insights into how closely a candidate’s qualifications match the requirements of a position. It integrates with Ollama for locally hosted AI model processing.

An AI-powered backend framework for creating context-aware, personality-driven non-player character (NPC) conversations using locally hosted large language models. The platform enables dynamic character interactions through AI-generated responses, with an emphasis on contextual understanding, consistent personalities, and immersive conversational experiences.