Featured Projects
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Project Highlights
This section highlights the technologies and tools I have used across various projects, showcasing my practical skills and real-world development experience.
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Business Portfolio
Built and manage the Kalikamba Printers business website using WordPress, designing a professional online platform to showcase services, improve visibility, and enhance customer engagement.
Projects Overview
Engineering Final Year Project
Developed an Augmented Reality–based fashion try-on system by creating realistic 3D models of the human body and accessories such as jewelry, hats, and sunglasses using Blender, and integrating them into Spark AR Studio where I used face tracking and patch editor logic to accurately attach and align the models with the user’s face and head movements, enabling users to virtually try on accessories in real time through an interactive and immersive mobile AR interface.
Database Management System Project
The Online Voting Management System is designed to provide a secure and efficient platform for conducting elections. This project emphasizes the importance of database design and management in ensuring the integrity and confidentiality of the voting process. Key features include voter login, vote casting, and result management, all designed to streamline the voting experience while maintaining security. Technologies utilized include SQL databases, web development templates.
Internship Project
During my internship, I worked on creating a web template for the CUE Club, a Snooker Club. The objective was to design and develop a user-friendly website that showcases the club’s offerings and events. This experience provided me with real-world web development skills, including interface design and user experience optimization. I learned valuable skills in HTML, CSS, and JavaScript, which enhanced my technical capabilities in web development.
Technical Seminar
Used AWS QuickSight Developer to connect datasets stored in Amazon S3 buckets and create interactive dashboards for data visualization and analysis. The datasets were uploaded to S3 and integrated with QuickSight to build meaningful visual reports, all developed and managed within the AWS cloud platform.