Whenever I visit any E-commerce site or you can say youtube, I was always wonder how they are recommending the items/videos of my Interest.In this project I have learnt about that Algorithm.
python
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language.
TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Streamlit
Streamlit is an open-source python framework for building web apps for Machine Learning and Data Science. We can instantly develop web apps and deploy them easily using Streamlit. Streamlit allows you to write an app the same way you write a python code. Streamlit makes it seamless to work on the interactive loop of coding and viewing results in the web app.
CNN
Within Deep Learning, a Convolutional Neural Network or CNN is a type of artificial neural network, which is widely used for image/object recognition and classification. Deep Learning thus recognizes objects in an image by using a CNN.
I have used CNN and K-nearest neighbors algorithms for recommending the items to the user.
After the data is pre-processed with the help of trensfer learning using ResNet50,Added the more layer to tune-up the Model
Used kaggle data which consist of about 45K products with different categories in Fashion domain. kaggle Data
- Clone the Repo.
- On your local machine on any python IDE run the app.py file.
- In terminal execute
streamlit run main.py