A Review on Designing of Face Matching With Bollywood Actress |
Author(s): |
Pratik Vijay Waghmare , G H Raisoni College Of Engineering Nagpur ; Nikhil Arun Bhure, G H Raisoni College Of Engineering, Nagpur ; Prof.Sonali Guhe, G H Raisoni College Of Engineering, Nagpur ; Prof.Pravin Jaronde, G H Raisoni College Of Engineering, Nagpur |
Keywords: |
Artificial Intelligence, Classifier, Face Detection, Face Recognition, Python, CNN. |
Abstract |
This research paper focuses on the development of a face matching algorithm for Bollywood actors. The algorithm is designed to identify the similarity between two faces and provide a score based on their matching features. The research involves the use of deep learning techniques and convolutional neural networks (CNNs) to extract facial features and compare them with a database of known Bollywood actors. The study includes data collection and preprocessing, model training and evaluation, and experimental results. The ultimate goal is to provide a reliable tool for the entertainment industry to compare new faces with established actors and make informed casting decisions. In this project the main focus is on the IT students. We are using a compiler to create the code for this web application, which was developed in a variety of programming languages, including C, C++, java, and Python. In this endeavour, the IT students are the main focus. We are using a compiler to create the code for this web application, which was developed in a variety of programming languages, including C, C++, java, and Python. |
Other Details |
Paper ID: IJSRDV11I20070 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 113-115 |
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