Engineered a single-cell analyzer application that processed genomic data with faster computational speed, enhancing cellular analysis and advancing personalized medicine research.

Engineered the Local Jbrowse2 Downloader, enabling seamless genomic data retrieval with a reduction in download time, and incorporated user feedback for continuous enhancement

Swipe.ly is an AI-powered email app that learns your preferences through swipes. Using NLP, it analyzes emails and adapts to your habits—for instance, swiping left on certain email types teaches the app to filter similar messages in the future. This creates a smarter, clutter-free inbox tailored to your needs, ensuring you see only what matters.

Please visit this site to reach the project's CalHacks site.

NLP-based web application that scans PDF books and extracts relevant data to construct comprehensive and tailored syllabi. It’s a game-changer for both teachers and students, saving time and ensuring high-quality content.

Hygea is an innovative waste management solution leveraging automation, artificial intelligence, and image processing to revolutionize recycling practices. Inspired by the Greek goddess of health and cleanliness, Hygea aims to address global waste management challenges, such as inefficient recycling practices and overflowing bins, by streamlining waste sorting and management. The system utilizes advanced tools like Arduino microcontrollers, ultrasonic sensors, and OpenCV-based image processing to identify and sort recyclable materials effectively. With applications ranging from household recycling to community programs, Hygea promotes environmental sustainability and resource conservation, paving the way for a cleaner, greener future.

Hair donation website for well-known companies, encouraging them to donate hair for cancer patients and support charitable competitions.

To see the deployed website please click here.

Ambrosia is a platform designed to facilitate the search process in menus for those who have a specific dietary preference or food allergy.

To see the deployed website please click here.

The web application that is aimed to automate the election process for IZTECH student council, for the first round of department representative election.

To see the deployed website please click here.

A computer vision and data science project which was supported by the Scientific and Technological Research Council of Türkiye.

An advanced machine learning and artificial intelligence project aimed at identifying and providing remote rehabilitation for stroke patients who face challenges in regular hospital visits.