VIRTUAL PET ADOPTION AND BREED IDENTIFICATION
Author(s):
GAUTAMI DEOKAR, Avinashdev Garudapalli , Shreya Jalgaonkar
Keywords:
Machine learning. Deep Learning, Python, Django, Firebase, MySql, IOT, Streamlit.
Abstract
The Previous product provides the citizens to adopt from our website and also allows us to create a social account where people can interact with each other. The Product also allows us to identify the breed in the post using Machine Learning and Deep Learning. We are using this feature to avoid any fraudulent post. The product also has IoT enabled features such as tracking. Index. With the previous product in mind, we improved the product with more accurate model which has 2X speed to classify properly. This model not just improved accuracy but has very less chances of mis prediction. This model gives us 95% of accuracy which is proved to be good and very useful.
Article Details
Unique Paper ID: 155212

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 640 - 645
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews