MeowMatch

A FastAI model built with a finetuned RESNET50 and using cosine similarity to give user recommendations based on their favourite images of cats by their breed in a Jupyter notebook. BTW - the accuracy of the model in making correct predictions of breed is 91%.

Project Screenshots:

🧐 Features

Here're some of the project's best features:

FastAI model trained using ResNet
Get Recommendations on 6 different breeds!
Cosine Similarity for recommendations

🛠️ Installation Steps:

1. Just download and run the Jupyter notebook step by step. Make sure all the imports are installed.

🍰 Contribution Guidelines:

Make Pull requests which improve the functionality of the application in any sorts. It should conform with the following conditions:

Clear, short, crisp description of the PR.
Should add on to the value of the application.

💻 Built with

Technologies used in the project:

Python
Fast AI
Jupyter Notebook
Torch
Numpy
Pandas
SKLearn

🛡️ License:

Distributed under the MIT License.