Projects
Responsive Restaurant
Front-End Design
In this project, I developed a fully responsive front-end design using HTML and CSS for a restaurant where users can place orders. The design includes an intuitive user interface that allows users to browse the restaurant's menu, create orders, and easily access contact information. Additionally, the site was optimized based on responsive design principles to ensure a smooth experience on different devices. The page was designed to provide a seamless experience across desktop, tablet, and mobile devices.
Obstacle Avoidance Robot
"The Obstacle Avoidance Robot" is an autonomous and manually controlled vehicle designed using Arduino Uno, capable of avoiding obstacles with the help of sensors. As a team of four students, we assembled the robot's components by combining our electrical knowledge and completed the project. We performed the coding in Arduino language. Thanks to its sensors, the robot detects and avoids obstacles, and it can also be controlled manually in addition to its autonomous driving mode.
Barcode Scanning Application
The Barcode Scanning Application is a barcode reader program used in shopping malls, supermarkets, and similar places to perform functions such as product calculation, stock tracking, and price lookup. This application was developed using C# on Windows Forms and is designed to be compatible with systems used in supermarkets. Users can scan barcodes to find product prices, check stock status, and perform calculation tasks.
Cafe Order Application
The Cafe Order Application is a system used by cafe and restaurant staff to enter orders and communicate them to the kitchen. Staff can select products from the menu and record orders, which are then sent to the kitchen. The application was developed using C# on Windows Forms.
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The Recipe Website
The Recipe Website is a platform where users can view cooking recipes, add their own recipes, and publish them. Users can browse various recipes, save their favorite ones, and share new recipes with other users. This website was developed using Node.js for server-side operations, JavaScript for dynamic user interactions, and HTML and CSS for page design. Additionally, libraries such as Express.js were used to ensure the efficient operation of the application.
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Log and IP Monitoring System for Network Security
This project, developed in C and C#, is a critical application in the field of cybersecurity, designed to track log records, IP addresses, and process information for network security and monitoring purposes. The system is aimed at detecting security breaches or suspicious activities by monitoring network traffic. The C version is optimized for low-level processing and high-efficiency tasks, while the C# version provides a more user-friendly interface and enhanced application features. This system records actions performed on the network, allowing users to detect security threats more quickly and take immediate action.
4o mini
Pet Adoption Website
The Pet Adoption Website is a platform where users can adopt or give away pets. The website allows users to view listings, add them to favorites, contact pet owners, and view location details on the map. Users can easily communicate with those who want to adopt pets or give them away, access listings quickly, and perform transactions.
Artificial Intelligence Powered Breast Cancer Detection System
In my artificial intelligence project for breast cancer detection, I used the CBIS-DDSM: Breast Cancer Image Dataset from Kaggle and trained the EfficientNet B0 model, achieving an accuracy of 89%. This image processing model is designed for breast cancer detection and has been successfully integrated into my website. On the site, users can access mammography information, scan the data to get results, and authorized users can share informative articles about breast cancer. The interface was developed using Flask, HTML, CSS, Bootstrap, and JavaScript.