This project made for apparels recommendation, We have trained the model with 44k image dataset using from kaggle, Here using Deep learning model Resnet50 CNN Model to extract image features and Using sklearn NearestNeighbors Algorithm to find the matching Images for Recommendation.

Project Hosted in AWS : Project URL

Those who don't want to install the project on your device and install the requirements, please download the docker container to your device and run the project.

• Docker Repository

A step-by-step series of examples that tell you how to start this container.

1. pull the docker image

docker pull thanseefpp/fitzy-flask:0.0.1.RELEASE

2. Run the container

docker container run -d -p 4000:3000 thanseefpp/fitzy-flask:0.0.1.RELEASE

3. Go to the 127.0.0.1:4000 port on your machine to visit the app that docker has executed (if your device is using a 4000 port then change it to 5000 or 3000)

Python3 Must be installed on your device.

A step by step series of examples that tell you how to get a development env running.

1. Install Virtual Env

python3 -m pip install --user virtualenv pipenv

2. Initialize Env

python3 -m venv env

3. Activate Env

source env/bin/activate

4. Install Requirements

pip install -r requirements.txt

5. Create .env file

touch .env

6. Create .env file

touch .env

please follow my instagram @thanseeftsf and ask any doubts.