I am passionate about solving problems and turning ideas into innovative solutions. Skilled in full-stack development, machine learning, and UI/UX design, I bring creativity and reliability to every project. As a hardworking and quick learner, I am committed to growing my skills and delivering my best.
L I am passionate about solving problems and turning ideas into innovative solutions. Skilled in full-stack development, machine learning, and UI/UX design, I bring creativity and reliability to every project. As a hardworking and quick learner, I am committed to growing my skills and delivering my best.
Department of ICT
Faculty of Technology
University of Sri Jayewardenepura
Our web-based Medical Center Management System streamlines healthcare operations with features like appointment scheduling, patient record management, and medication tracking. Technologies : Frontend- HTML, CSS, JavaScript, Tailwind CSS, React Backend- Node Js, Express Js Database- MongoDB
A responsive web application designed to streamline online food ordering and delivery. The platform features a modern, user-friendly interface for browsing menus, placing orders, and tracking deliveries. • Technologies: HTML, CSS, JavaScript • Key Features: Responsive design, dynamic menu filters, interactive cart system, and seamless user navigation
A modern and responsive travel website built using HTML, CSS, and JavaScript. This project provides an engaging and user-friendly experience for travelers to explore destinations, book trips, and find travel tips. • Technologies: HTML, CSS, JavaScript
This project uses deep learning, specifically LSTM (Long Short-Term Memory) networks, to predict stock market values by analyzing historical price data and identifying trends. It provides accurate forecasts to aid in informed investment decisions.
This project combines image processing techniques and machine learning algorithms to detect and classify objects in images. It enables applications like surveillance, autonomous systems, and real-time object recognition.
This AI-powered website predicts heart risk levels by analyzing user health data using machine learning algorithms(Multi Variable Linear Regression). It offers personalized risk assessments to support early prevention and better heart health management.