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CIFAR10-Classifier-with-Web-Interface

Deep Convolutional Neural Network
Number of Layers - 5
Epoch - 30
Test Accuracy - 84.62

Index.html must be placed in templates folder

style.css must be placed in static folder.

A new folder images must be created in the static folder and the image Default.png must be placed in that folder.

To start the web interface
Clone this repo
Train the model from CIFAR10Final.ipynb
The pickled model must be stored in the same directory as of Real-Time-Classification.py

Install celery
Install Redis

Start the Redis server
Start the celery worker

   celery worker -A Real-Time-Classification.celery

Start the Flask python file
   python Real-Time-Classification.py

Webpage rendered on localhost:5000

**Screenshots included

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