{"id":18237502,"url":"https://github.com/tinycompositehar/lowcomputecompositeadlmodels","last_synced_at":"2026-05-16T17:37:04.082Z","repository":{"id":258788535,"uuid":"863793020","full_name":"TinyCompositeHAR/LowComputeCompositeADLModels","owner":"TinyCompositeHAR","description":"My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device 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align=\"center\"\u003e\n    Low-Cost Low-Compute Composite ADL Recognition\n\u003c/h1\u003e \n\n\u003ch4 align=\"center\"\u003e\n    \u003ca href=\"https://scikit-learn.org/stable/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/scikit--learn 1.5.1-%23F7931E.svg?style=for-the-badge\u0026logo=scikit-learn\u0026logoColor=white\"  alt=\"whatever\"/\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://www.tensorflow.org/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/TensorFlow 2.17-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://keras.io/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Keras 3.4.1-FF0000?style=for-the-badge\u0026logo=keras\u0026logoColor=white\"  alt=\"whatever\"\u003e\n    \u003c/a\u003e\n\u003c/h4\u003e\n\n\u003ch4 align=\"center\"\u003e\n    \u003cdiv align=\"center\"\u003e\n        \u003chr width=\"250px\"/\u003e\n    \u003c/div\u003e\n        \u003ch4 align=\"center\"\u003eTools\u003c/h4\u003e\n        \u003ch4 align=\"center\"\u003e\n            \u003ca href=\"https://www.jetbrains.com/pycharm/\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/PyCharm 2024-000000.svg?\u0026style=for-the-badge\u0026logo=PyCharm\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://jupyter.org/\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Jupyter 5.7.3 -F37626.svg?\u0026style=for-the-badge\u0026logo=Jupyter\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://pop.system76.com/\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Pop!_OS 22.04-48B9C7?style=for-the-badge\u0026logo=Pop!_OS\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/quadro-rtx-8000-us-nvidia-946977-r1-web.pdf\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/NVIDIA- 2x Quadro RTX 8000-76B900?style=for-the-badge\u0026logo=nvidia\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/quadro-product-literature/quadro-rtx-8000-us-nvidia-946977-r1-web.pdf\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/NVIDIA-RTX 3070-76B900?style=for-the-badge\u0026logo=nvidia\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://www.python.org/downloads/release/python-3100/\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Python 3.10-FFD43B?style=for-the-badge\u0026logo=python\u0026logoColor=blue\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://github.com/espressif/arduino-esp32/releases/tag/3.0.5\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Arduino Core 3.0.5-00979D?style=for-the-badge\u0026logo=Arduino\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://docs.espressif.com/projects/esp-idf/en/stable/esp32s3/hw-reference/esp32s3/user-guide-devkitc-1.html\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/espressif32 s3 dev kit-E7352C.svg?style=for-the-badge\u0026logo=espressif\u0026logoColor=white\"  alt=\"whatever\"/\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://www.tensorflow.org/lite\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/TFLITE-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://github.com/tensorflow/tflite-micro\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/TFLITE micro-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n        \u003c/h4\u003e\n        \u003cdiv align=\"center\"\u003e\n            \u003ca href=\"https://platformio.org/\"\u003e\n                 \u003cimg src=\"https://img.shields.io/badge/PlatformIO-6.1.15-orange.svg\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003chr width=\"250px\"/\u003e   \n        \u003c/div\u003e\n\u003c/h4\u003e\n\nThis repository contains the trained, optimized, and converted tf models\nto deploy them on [ESP32 S3 DEV KIT](https://docs.espressif.com/projects/esp-idf/en/stable/esp32s3/hw-reference/esp32s3/user-guide-devkitc-1.html)\nfor my CSE707 semester final project.\nFor inference on ESP32 and related setup, please [click here](https://github.com/TinyCompositeHAR/ESP32TFLiteCompositeHARModelDeployment).\n\n\u0026#160;\n\n\u003cdiv align=\"center\"\u003eCopyright \u0026copy; 2024-present \n     \u003ca href=\"https://github.com/Inmoresentum\" target=\"_blank\"\u003eInmoresentum\u003c/a\u003e\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinycompositehar%2Flowcomputecompositeadlmodels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftinycompositehar%2Flowcomputecompositeadlmodels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinycompositehar%2Flowcomputecompositeadlmodels/lists"}