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IOT project

This repo includes the app (client) and the server that is hosted on google cloud.

This app is able to take photo and give a prediction of what the object is.

Usage

Download iot.apk and install in android device.

Client

Develop in android studio

Server

This is a flask backend server

Deploy on cloud

http://34.87.129.213:5000/ update: it is not hosted now due to $$ charges from google cloud

To send POST request to server

RequestParam: predict/file=image.jpg

Example: postman api test

Guide to deploy on cloud: https://www.section.io/engineering-education/deploy-flask-to-gce/ (remember to configure firewall)

To run locally

python3 server.py

OR

export FLASK_APP="server.py"
flask run -p 5000

Localhost: http://0.0.0.0:5000/

Depencies

pillow
flask
tensorflow (note: for mac m1 chip, have to create virtual env)

References

https://cloud.google.com/compute/docs/quickstart-linux https://loopj.com/android-async-http/ https://github.com/android-async-http/android-async-http https://developer.android.com/training/camera/photobasics https://educative.io/edpresso/extracting-an-apk-file-from-android-studio https://stackoverflow.com/questions/45046001/how-to-configure-action-image-capture-to-store-the-photo-in-public-external-stor https://stackoverflow.com/questions/29339565/how-do-i-call-rest-api-from-an-android-app https://towardsdatascience.com/how-to-build-a-machine-learning-api-using-flask-2fb345518801