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The BrewMaster is a mobile catalog app that lists coffee products and shows their details with a modern, user-friendly interface. The project was built using Flutter for learning purposes and demonstrates core mobile app competencies.

The Hepsiburada Price Tracking System is an automated monitoring platform that regularly tracks product prices on Hepsiburada, logs changes, and optionally sends notifications via Telegram.

The Intelligent Hotel System – Offer Management Solution is a web-based application that enhances hotel operations by smartly handling offer requests and managing reservation workflows. It receives, logs, and matches offer requests with appropriate hotel services.

The Order Tracking Mobile App is a simple yet effective mobile solution that lets users view real-time shipment/order status updates and review past tracking information with an easy-to-use interface.

The Telegram Keyword Listener is a bot solution that monitors specific keywords on Telegram and triggers predefined actions whenever those keywords are detected in chats.

The AI-Powered Football Analysis Assistant is an interactive analysis platform that uses league data, match statistics, and historical performance to provide users with intuitive, data-driven insights about football matches. It is designed to generate analytical reports, compare teams, and offer deep match evaluations.

The BrewMaster Admin is a web-based admin panel that simplifies product management for a coffee shop. It offers a fast, visually appealing, responsive UI built with React and Vite.

The Real Estate WhatsApp GPT Bot is a chatbot solution that analyzes real estate listings and basic user inquiries via WhatsApp using GPT, generating automated responses. It engages with users in natural language and can evaluate listings and answer info-related questions.

The Library Assistant Chatbot is a chatbot solution that uses GPT-based natural language processing to answer library users’ questions, support book search, recommendations, category info, and more. It delivers fast, intuitive responses in conversational form.

The Flo Customer Segmentation – RFM Analysis is a data analytics project that segments e-commerce customers using RFM (Recency, Frequency, Monetary) evaluation. It groups customers behaviorally and produces insights for business decisions.

The Gaming Company Sales Prediction Project I developed uses real-world gaming company data and a rule-based classification method to estimate potential customer revenue and derive actionable insights.

The Gezinomi Customer Revenue Estimation & Segmentation Project is a data analytics project using real Gezinomi customer data to estimate potential revenue and derive customer segments through rule-based classification.

The Mobile eCommerce Application is a modern shopping experience mobile app that lets users browse products, add them to a cart, and proceed toward checkout.