Hi, I'm Mert Ali Çelik

Developed a Flask-based honeypot web application for a Turkish travel advice/news website, incorporating dynamic content delivery through RSS feeds, advanced user authentication mechanisms, and an interactive comment system.

A deep learning model using TensorFlow and Keras to classify gender from facial images. Features include CNN architecture, real-time prediction, and robust evaluation metrics.

A turn-based simulation game in C++ demonstrating file I/O, data structures, and an interactive menu. Players are loaded from a file, assigned tasks, and roll dice to determine scores. Features include dynamic player/task management, score tracking, and a console menu for statistics and gameplay.

Spearheaded the development of a music analysis and recommendation system that consolidates liked-song data from diverse sources. Implemented robust backend functionality for data processing and analysis.

Developed a secure, open-source self-hosted video conferencing platform to address privacy concerns in commercial offerings. Leveraged Jitsi Meet for core functionality while implementing enhancements for scalability and memory management.

Developed a CNN-based Autoencoder system for anomaly detection in ECG data, exploring various loss functions and generating insightful visualizations to evaluate model performance.

Examined the success of basketball teams based on the performance of star players using machine learning models and efficiency score calculations.

Developed machine learning models for predicting movie ratings from provided datasets.

Engineered a robust digital combination lock system using Algorithmic State Machine (ASM) principles, focusing on both security and reliability. Designed and implemented the controller logic to manage user input sequences, ensuring only the correct code grants access. Developed the complete circuit pathway, integrating hardware and software components for seamless operation. This project deepened my understanding of digital logic design, state machines, and secure embedded systems.

Developed a Netflix controller application that interfaces with a database to manage favorite and popular movies, allowing users to add, remove, and browse movies for easier decision-making.

Utilized Python to construct a neural network-based regressor for predicting house prices using the provided dataset.

A modern e-commerce platform built with Next.js, React, TypeScript, and Tailwind CSS. Features include Firebase integration for product and user management, persistent shopping cart, and secure authentication.