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My Work .

Real-world projects combining web development, embedded systems, and machine learning — built end-to-end.

★ Featured Project
AI · Embedded · Full-Stack

Acoustic Anomaly Detection for Smart Factories

A real-time machine fault detection system driven by sound. An ESP32-S3 with an INMP441 microphone captures audio, extracts MFCC features, and runs a Random Forest classifier to detect anomalies. Results stream to a React monitoring dashboard with instant Telegram Bot alerts.

ESP32-S3Pythonscikit-learnMFCCReactTelegram API