Projects
SEVA: Your Home Service Solution
SEVA is a comprehensive web-based application offering a wide range of home services such as AC servicing, refrigerator repair, water pump maintenance, and more. This innovative project was developed by our team consisting of Haikal Hamizan Hazmi, Muhammad Edlyn, and Muhammad Rizky Darmawan.
SEVA aims to streamline the process of booking and managing home services through a user-friendly interface. Whether you need urgent repairs or routine maintenance, SEVA connects you with qualified service providers efficiently and effectively.
GovSpeak
GovSpeak leverages web technology to create a user-friendly interface where citizens can access government information effortlessly. Through this platform, citizens can monitor government activities, assess performance, and contribute to policy-making processes. By promoting transparency, accountability, and public participation, GovSpeak aims to build a stronger and more responsive government that meets the needs and expectations of its citizens.
Development of an AI-Based Web App for Rapid Covid-19 Diagnosing Using Deep Learning (Paper 2024)
In this project, I contributed to the research, data processing, and content development for a paper focused on creating an AI-based web application designed to diagnose Covid-19 swiftly using deep learning technology. My responsibilities included gathering and analyzing data, conducting literature reviews, and compiling the paper’s content to ensure a comprehensive and scientifically sound presentation. I also prepared the necessary materials for an academic conference. On 28 August 2024, the paper was successfully accepted by the International Conference on Computer Science and Computational Intelligence (ICCSCI).
Download Paper Here
Development of an AI-Based Web App for Rapid Covid-19 Diagnosing Using Deep Learning (Project 2024)
As part of a collaborative team, I led the development and deployment of a modified AI-Based Web App for Rapid Covid-19 Diagnosis using deep learning. Building on existing research, we enhanced and adapted the technology to create a practical, real-world solution for accurate and fast Covid-19 diagnosis. My responsibilities included overseeing development, integrating deep learning models, and coordinating teamwork. The result was a scalable web app that supports healthcare professionals, showcasing how research can be translated into impactful public health tools.
