Genetik Algoritma ve Q-Learning ile ağ rotalama optimizasyonu — akademik ekip projesi
Developed a real-time IoT-inspired Air Quality & Pollution Monitoring Dashboard using Python, Streamlit, Plotly, and Pandas. Implemented live sensor simulation, AQI classification, pollution alerts, automated report generation, CSV data logging, interactive visualizations, and real-time environmental analytics for smart city monitoring applications
Python-based ATE test runner simulator for hardware/software test workflows, validation, PASS/FAIL evaluation, and CSV reporting.
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