EnesKALECİ
Enes KALECİ
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About Me
About Me
I graduated from the Department of Mathematics at the Faculty of Engineering and Science, Istinye University, and I am currently studying Computer Programming at Istanbul University Open Education Faculty. I have strived to improve my skills by participating in various certificate programs and working independently.
My Portfolio
Some Of My Works
Cafe Automation
This cafe automation system is designed to manage order, product, table, and payment processes in cafes in a fast and organized manner. With this system, staff can easily take orders, instantly send them to the kitchen, and complete payment transactions accurately. It also enables product and stock tracking, helping the business maintain control over inventory and increase overall efficiency. Thanks to its user-friendly interface, the system is easy and practical to use.
Dormitory Automation
This project is a software developed within the scope of Dormitory Automation. It enables the management of processes such as student registration, room and bed allocation, entry-exit tracking, fee and payment control, and announcement management through a single system. The Dormitory Automation system reduces administrative workload, increases efficiency, and provides an organized dormitory management structure.
Group Cryptography
This graduation thesis focuses on the analysis and application of encryption methods using Group Cryptography. The study examines how group-based cryptographic techniques can be used to ensure secure communication among multiple users by enabling efficient group key generation, distribution, and management. Within the scope of the thesis, various encryption approaches based on Group Cryptography are discussed and evaluated in terms of security, scalability, and performance. The results highlight the effectiveness of group-based encryption methods in protecting data confidentiality and integrity in multi-user systems.
Time series analysis
In this study, traffic prediction was performed using time series analysis techniques. Historical traffic data were analyzed to model temporal patterns and trends, and future traffic values were estimated accordingly. Within the scope of the study, ARIMA, SARIMA, and LSTM models were implemented and compared to evaluate their prediction performance. The results demonstrate that time series–based approaches are effective in traffic forecasting, and that advanced models such as LSTM can better capture complex and non-linear patterns in traffic data.
ChatBot
In this study, a chatbot application was developed using Python to provide medication recommendations based on user-reported symptoms and diseases. The system analyzes user inputs and matches them with predefined medical information to suggest commonly used medications for specific conditions. The chatbot aims to support users by offering informative guidance, while emphasizing that the recommendations are not a substitute for professional medical advice. The results show that Python-based chatbot systems can be effectively used in healthcare-related applications to improve accessibility to medical information.
TEKMET WEBSITE
This project involves the development of a corporate website for a company and is currently still in progress. The website is being designed with a modern and user-friendly interface and includes an SQL database connection to support dynamic content management. Through database integration, user data, site content, and administrative information are stored and managed securely. Once completed, the project aims to deliver a scalable and efficient web platform that enhances the company’s digital presence.
Tekmet Application
This project involves the development of an application for a company that enables the creation and management of copyrighted content, income and expense tracking, and the secure storage of customer information. The application allows the company to efficiently monitor financial operations while maintaining customer data in a centralized and secure system. Additionally, it supports the generation and archiving of copyright-related texts, contributing to more organized and controlled business processes. Overall, the system aims to digitalize company operations, improve data integrity, and increase operational efficiency.
Server Client
In this project, a Server–Client application was developed that enables users to communicate with each other through local messaging. The system is based on a client–server architecture, where the server manages connections and message transmission between clients within a local network. The application supports real-time message exchange and demonstrates the fundamentals of socket programming and network communication. This project highlights how server–client structures can be effectively used for local communication systems.
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