Amazon Fashion Recommendation Engine using Django3

Recommendation of fashion clothes using TFIDF, BOW and CNN. In tfidf and bow I have taken the euclidean distance between the brand name, color, price of query image and all the reamaining images. In CNN based model I have extracted all the features using VGG16 architecture and get the euclidean distance between query image and all the images.

Requirements (Prerequisites)

• Linux or Windows
• Python 3.8 and up

For Windows

git clone https://github.com/shubendu/Amazon_fashion_recommendation_engine.git

Install project dependencies:

$ pip install -r requirements.txt

Then simply apply the migrations:

$ python manage.py migrate

You can now run the development server:

$ python manage.py runserver

Demo

For live demo click here

Tech Stack / Built With

1. Django3 - The python framework
2. Bootstrap4
3. Heroku (for deployment)

Authors

• @shubendu

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