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Fake Profile Detection on Social Networking Websites using Machine Learning | Python IEEE Project
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Fake Profile Detection on Social Networking Websites using Machine Learning | Python IEEE Final Year Project 2023 - 2024.
(or)
To buy this project in ONLINE, Contact:
🔬Our Proposed Project Title: Instagram Fake Account Detection using Machine Learning.
💡Implementation Code: Python.
🔬Algorithm / Model Used: Random Forest Classifier & Decision Tree Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.
📌IEEE Base Paper Title: Fake Profile Detection on Social Networking Websites using Machine Learning.
📌IEEE Base paper Abstract:
These days, social media has a significant impact on everyone’s life. Most people frequently utilize social media platforms. Each of these social media platforms offers benefits and drawbacks, as well as security risks for our information. To determine who poses threats on these platforms, it is necessary to distinguish between the real and fake social media profiles. There are traditionally used various methods for identifying fake social media accounts. But these platforms need to be better at identifying phoney accounts. The accuracy rate of identifying fake accounts utilising timestamp data types is improved in this proposed work employing high gradient boosting algorithms and Natural Language Processing. In order to investigate the relationship between various machine learning methods and multi-features in time series, this study employs a variety of machine learning techniques.
📌REFERENCE:
Dr. M. Sirish Kumar, Dr Jasmine Sabeena, Konduru Manasa Veena, Kummari Pavan, Malepati Sukavya, Kundavaram Sravanthi, “Fake Profile Detection on Social Networking Websites using Machine Learning”, 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), IEEE Conference, 2023.
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(or)
To buy this project in ONLINE, Contact:
🔬Our Proposed Project Title: Instagram Fake Account Detection using Machine Learning.
💡Implementation Code: Python.
🔬Algorithm / Model Used: Random Forest Classifier & Decision Tree Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.
📌IEEE Base Paper Title: Fake Profile Detection on Social Networking Websites using Machine Learning.
📌IEEE Base paper Abstract:
These days, social media has a significant impact on everyone’s life. Most people frequently utilize social media platforms. Each of these social media platforms offers benefits and drawbacks, as well as security risks for our information. To determine who poses threats on these platforms, it is necessary to distinguish between the real and fake social media profiles. There are traditionally used various methods for identifying fake social media accounts. But these platforms need to be better at identifying phoney accounts. The accuracy rate of identifying fake accounts utilising timestamp data types is improved in this proposed work employing high gradient boosting algorithms and Natural Language Processing. In order to investigate the relationship between various machine learning methods and multi-features in time series, this study employs a variety of machine learning techniques.
📌REFERENCE:
Dr. M. Sirish Kumar, Dr Jasmine Sabeena, Konduru Manasa Veena, Kummari Pavan, Malepati Sukavya, Kundavaram Sravanthi, “Fake Profile Detection on Social Networking Websites using Machine Learning”, 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), IEEE Conference, 2023.
#python #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject #instagram #fakeinstagramaccount #education #fakeprofiles
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