Fraud Detection on Bank Payments Using Machine Learning | Python Final Year IEEE Project

Fraud Detection on Bank Payments Using Machine Learning | Python Final Year IEEE Project. 🛒Buy Link: https://bit.ly/3I5KSMN (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Project Title: Fraud Detection on Bank Payments Using Machine Learning. 💡Implementation Code: Python. 🔬Algorithm / Model Used: Random Forest Classifier. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/. 📘Project Abstract: 👉The practice of obtaining financial gains by dishonest and unlawful means is known as financial fraud. Financial fraud, which is defined as the use of dishonest methods to obtain financial gains, has recently grown to be a serious threat to businesses and organizations. 👉Machine-learning-based technologies can now be used intelligently to identify fraudulent transactions by examining a significant amount of financial data, thanks to the development of artificial intelligence. 👉As a result, this study seeks to offer a model of fraud detection on bank payments utilizing the Random Forest Classifier Machine Learning Algorithm. 👉Our suggested system makes use of the Banksim dataset, and we have demonstrated that it is more effective than the current system by achieving train and test accuracy of 99%. 📌REFERENCE: Pinku Ranjan; Kammari Santhosh; Arun Kumar; Somesh Kumar, “Fraud Detection on Bank Payments Using Machine Learning”, 2022 International Conference for Advancement in Technology (ICONAT), IEEE Conference, 2022. 🏷️tags: #python #pythonprojects #fraud #detection #bankfrauds #cybersecurity #cybersecurityproject #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorprojects