Image_Identifier_Web_Application

1. Project Requirements or Dependencies

* Anaconda Python (to get ML Libraries)
* Keras (for Deep Learning)
* Pip install keras (For Back-end)
* Pip install tensorflow
* Pip install Django (For Front-end)

2. Django Creation

* django-admin.exe startproject myWebApp cd .\MyWebApp
* python.exe .\manage.py runserver 
* Localhost:8000/imageupload
* Settings.py is the configuration file url.py is for routing templates folder to store html files

3. Backend creation using pretrained keras model – Resnet50

* Use this pretrained model and connect it with our Django application.
* Upload image in our Django application.
* Use this for prediction for model and show the output

4. Adding form to Django and uploading image

5. Integrating web application with deep learning backend.