Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
| Κύριοι συγγραφείς: | , , |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
Brac University
2021
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10361/15022 |
| id |
10361-15022 |
|---|---|
| record_format |
dspace |
| spelling |
10361-150222022-01-26T10:20:02Z Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children Alhossen, Md. Himi, Rafika Zannat Hasan, Zahid Akhond, Mostafijur Rahman Department of Computer Science and Engineering, Brac University Machine Learning Prediction Scrapping CNN Augmentation Accuracy Machine Learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (page 41-43). The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent types of websites on the internet because of their accessible devices but not every time the internet websites are child friendly and children can view some violent and adultery images which can a ect their childhood along with their mind. Furthermore, most of the people are having business from websites what is called E-commerce nowadays but the issue is that the business persons are adding ads to their websites for the pro ts. However, sometimes these ads can be violent and also can contain adultery images which can be viewed by a child. To stop, viewing these types of images the main way can be stopping the access of the images from a child's device which can be done by adding extension to their devices. Then parents can feel relief and children can gain their knowledge by using the great side of the internet. So, to not access the images a lter should be made but the main challenge is the making of lter which will know a speci c work to maintain the extension. Also, none of the model can give 100 percent. However, when an algorithm gets heavier then it will work slowly and it will have an impact on the browser speed so to avoid this issue the model need to make a lighter algorithm. Here, to make this extension happen and e client it will need image processing and machine learning so that it can help to make a virtual surveillance for the children and can make their mind fresh and creative. Our system will be hosted in a cloud space and will be called by the extension with the help of an API. In our system we used beautifulsoup4 for image scrapping from web page. Augmentor is for the data augmentation. For a faster machine learning PIL is our choice. And Tensorow performed extremely well in our Convolution Neural Network. Md. Alhossen Rafika Zannat Himi Zahid Hasan B. Computer Science 2021-09-16T17:54:26Z 2021-09-16T17:54:26Z 2021 2021-05 Thesis http://hdl.handle.net/10361/15022 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 43 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Machine Learning Prediction Scrapping CNN Augmentation Accuracy Machine Learning |
| spellingShingle |
Machine Learning Prediction Scrapping CNN Augmentation Accuracy Machine Learning Alhossen, Md. Himi, Rafika Zannat Hasan, Zahid Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Akhond, Mostafijur Rahman |
| author_facet |
Akhond, Mostafijur Rahman Alhossen, Md. Himi, Rafika Zannat Hasan, Zahid |
| format |
Thesis |
| author |
Alhossen, Md. Himi, Rafika Zannat Hasan, Zahid |
| author_sort |
Alhossen, Md. |
| title |
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| title_short |
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| title_full |
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| title_fullStr |
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| title_full_unstemmed |
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children |
| title_sort |
child safe browser extension: a browser extension to detect adultery and violent content to make safer web for children |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15022 |
| work_keys_str_mv |
AT alhossenmd childsafebrowserextensionabrowserextensiontodetectadulteryandviolentcontenttomakesaferwebforchildren AT himirafikazannat childsafebrowserextensionabrowserextensiontodetectadulteryandviolentcontenttomakesaferwebforchildren AT hasanzahid childsafebrowserextensionabrowserextensiontodetectadulteryandviolentcontenttomakesaferwebforchildren |
| _version_ |
1814309202281103360 |