Development of an artificial intelligence-based application for monitoring and security

Cross-platform React Native mobile app with real-time dashboard, alerts, and geolocation tracking. Developed a FastAPI (Python) backend with WebSockets for low-latency communication. Trained and deployed XGBoost classifier for real-time anomaly detection using scikit-learn, Pandas, and NumPy. Integrated Yandex Maps API for live event visualization. Full stack: Docker, PostgreSQL, secure authentication. Defended June 2025, graded “Excellent” (5/5), recommended for honors diploma (protocol № 133, 17.06.2025).