Hello Aswin!

Yes, you are correct that this project does not involve object detection and does not localize the cat with a bounding box. It only classifies whether an image contains a cat or not. So, it is a binary classification problem, not an object detection problem.

Regarding the comparison with the Dogs vs Cats Image Classification project - CNN, it is true that this project is a subset of that project since both are image classification tasks. However, the specific algorithms and techniques used in each project are different. My Cat Image Classifier compares the performance of the logistic regression model and deep neural network model for binary classification. On the other hand, the Dogs vs Cats Image Classification project - CNN classifies using Convolutional Neural Networks, which is an advanced topic in deep learning.

Overall, it looks like a good project for learning about image classification and training models to recognize cats in images. Great job!

Github link: https://github.com/muhammadanas0716/Machine-Learning-101/tree/main/Projects/Cat%20Image%20Classifier
https://github.com/josephmisiti/awesome-machine-learning/blob/master/ML-DL%20Projects%202022

Best Regard
MB-Shihab-Aaqil-Ahamed