micromlgen

Edge TinyML human activity recognition system using MPU6050 + ESP8266 with on-device SVM inference, live web output, and full data-to-deployment pipeline.

iot arduino esp8266 nodemcu machine-learning svm imu human-activity-recognition mpu6050 edge-ai tinyml micromlgen embedded-ml real-time-inference

Updated Apr 10, 2026
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micromlgen

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ggrkp / dalton_project

NathanAud / Klasifikasi-Jenis-Pisang-Berlin-dan-Pisang-Susu-Menggunakan-Metode-SVM

dipa09 / riot_imgclf

kershrita / Human-Activity-Recognition

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