Copyright: © the author(s), publisher and licensee Technoscience Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non- commercial use, distribution, and reproduction in any medium, provided the original work is properly cited International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN : 2456-3307 (www.ijsrcseit.com) doi : https://doi.org/10.32628/CSEIT251445 446 Dog Breed Prediction Using Deep Learning and E-commerce Abhinav Rajhans 1 , Rajan Gupta 1 , Satyam Dubey 1 , Piyush Dave 1 , Prof. Aabha Patil 2 1 Department of Computer Engineering, Shree L.R Tiwari College of Engineering Mumbai, Maharashtra, India 2 Assistant Professor, Department of Computer Engineering, Shree L.R Tiwari College of Engineering Mumbai, Maharashtra, India A R T I C L E I N F O A B S T R A C T Article History: Accepted: 01 April 2023 Published: 21 April 2023 This project uses computer vision and machine learning techniques to predict dog breeds from photographs and provides a trustworthy and efficient e-commerce platform for dogs. With the help of various machine learning models such as convolutional neural networks, our model gives the correct breed 90% of the time. Apart from that, our web application also provides an e-commerce platform for buying of dogs. Keywords: Computer Vision, Machine Learning, E-Commerce Publication Issue Volume 10, Issue 2 March-April-2023 Page Number 446-451 I. INTRODUCTION Artificial intelligence enables the machine to achieve human level intelligence. Machine learning allows the machine to extract useful information from any data. Deep learning is a further subfield of ML that utilizes artificial neural networks inspired by human brain. These Neural Networks can grasp and recognize patterns in data and develop models, without being explicitly instructed on how to solve a problem. Using Deep Learning we can detect many things such as objects, animals, humans etc. There are many algorithms for image processing such as A Convolutional Neural Network. Convolutional Neural Networks (CNNs) are a popular class of deep learning algorithms that are specifically designed for processing visual data such as images and videos. Using Such Deep Learning Algorithms. [1] The aim of this project is to classify images of dogs into their respective breeds and build a trustworthy and efficient E-commerce for buying and selling of Dogs. Classifying dog breeds from images is a fine- grained task that is complicated by the fact that many breeds share similar body features and overall structure and it is challenging due to the diversity among breeds and the high level of variation within breeds in terms of size, shape, and colour. This difficulty is further compounded by the variations in lighting and positioning of dogs within the dataset used for this project, which includes images of dogs from the same breed but in different styles. However, the techniques used to address the challenge of classifying dog breeds from images could be beneficial in identifying breeds of cats and horses, as well as various species of birds and plants. Moreover, the methods could potentially be extended to classify models of cars or other objects. The ability to predict dog breeds from images could also benefit