1. Set up the Jetson Nano: follow the nvidia guide linked.
https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit 

2. Download multiple things related to the text recognition A.I: I followed a multitude of guides linked here.
Main Guide:
https://github.com/NVIDIA-AI-IOT/scene-text-recognition
Patches for the A.I. to work with newer software (scroll down):
https://forums.developer.nvidia.com/t/object-detection-with-jetson-nano/198189/9
How to handle memory errors:
https://forums.developer.nvidia.com/t/text-recognition-issues/214574/3
How to downgrade Tifffile: 
https://forums.developer.nvidia.com/t/nvidia-ai-iot-scene-text-recognition-public/229121

3. Connect and control lights: We used the pings connected to lights to output if the date was expired or not, 11 and 7 are ground pins, pins 10 and 8 are for power, plug wires into them. You can control them with the Jetson.GPIO library which you can download with:

sudo pip install Jetson.GPIO

We followed this guide to connect the pins correctly: https://automaticaddison.com/how-to-blink-an-led-using-nvidia-jetson-nano/

4. Train the A.I: We haven't finished this yet, the guide to train the A.I. is linked to the main scene-text-recognition github.

5. Make the main python program: The code we used to handle reading and outputting the date is linked, It is unfinished and someone is probably able to code it better than me.