Low-latency Rust prediction-market trading bot for Kalshi & Polymarket. 9 autonomous strategies (Momentum, Maker, Arbitrage, ML, etc.), real-time Next.js Control Tower, and an AI LLM Advisor that delivers optimization recommendations via Ollama (local or remote) + Telegram and OpenClaw.
An end to end Machine Learning project that predicts real estate prices in Izmir. Built from scratch using Python, Selenium for scraping, K-Means for location clustering, and Streamlit for the web interface.
Machine Learning implementation for personalized prediction of longitudinal COVID-19 vaccine responses in immunocompromised individuals
This project applies machine learning techniques to classify Iris flower species based on sepal and petal measurements. It explores multiple classification algorithms, including Random Forest, SVM, Naive Bayes, KNN, and XGBoost. The project incorporates data preprocessing, hyperparameter tuning, cross-validation to optimize the models' performance.
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