Sign Language Recognition with esp32-cam using tflite

I implement a tensorflow lite (tflite) model on the ESP32-cam for American Sign language. The model is a stand-alone model and requires no network connection to run. The projects uses a pcb from pcbway to connect the esp32-can to a tft lcd screen, thus eliminating much of the messy wiring. #esp32cam #tflite

Notes:
I'm using board version 2.02 of the esp32. The higher versions had a bug with the TFT_eSPI library for outputting jpeg files. Although, I didn't end up using the jpeg files.

The pin connections for the esp32 and tft are below. Note: if you are using the TFT_eSPI library, you need to define the pin connections in the User_Setup.h file,
TFT_MISO 13
TFT_MOSI 12
TFT_SCLK 14
TFT_CS 15 // Chip select control pin
TFT_DC 2 // Data Command control pin
TFT_RST 16 // Reset pin (could connect to RST pin)
//LED pin connected to 5v.

github:
https://github.com/jonathanrandall/Am...

Kaggle dataset:
https://www.kaggle.com/datasets/datam...

Kaggle notebook:
https://www.kaggle.com/code/madz2000/...

pcbway:
https://pcbway.com/g/QkVak7

person detection training instructions:
https://github.com/tensorflow/tflite-...

tflite instructions for microcontrollers:
https://www.tensorflow.org/lite/micro...

Converting tensorflow to tflite interesting video:
   • Convert Tensorflow/Keras model to Ten...