BrotherEye - System Monitoring Tool with Raspberry Pi

• Built a Raspberry Pi-based dashboard to monitor CPU, memory, disk, and battery metrics in real time with
persistent data storage using SQLite
• Applied ML models (Linear Regression for trend forecasting, K-Means for anomaly clustering) to predict
performance degradation and detect potential system issues proactively
• Enabled interactive controls for restarting applications and managing processes through a Flask-based web interface
accessible across local network