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Credit card companies must identify fraudulent credit card transactions in order to prevent consumers from being charged for goods they did not buy. Data science can address these problems, so machine learning and data science as a combined field shouldn't be underestimated. The project's objective is to compile a catalogue of all datasets used for machine learning to detect credit card theft. The use of data from credit card transactions that are later discovered to be fraudulent to simulate earlier credit card transactions is one of the problems with identifying credit card fraud. Then, using this approach, the validity of new deals is assessed. Our intention is to reduce the number of erroneous deals by detecting all fraudulent ones. [ABSTRACT FROM AUTHOR]

In this day and age of online and digital transactions, credit card has come up as a popular option of payment. This has lead to the increase in the fraudulent credit card transactions and as a result the banks and the customers have to bear the loss. It is very vital for the credit card companies to identify and stop the fraud transactions. The main aim of this project is to create a model that can distinguish fraudulent credit card transactions from real ones. The proposed model uses the transaction patterns of previous credit card transaction data which contains both genuine and fraud data to train itself using suitable ML algorithms and identify the fraudulent transactions and nip it in the bud. [ABSTRACT FROM AUTHOR]

This paper presents the design and implementation of a tool that allows the simultaneous measurement of Isc, Voc, irradiance, ambient temperature and PV panel temperature. The data collected can be exhibited on a screen or saved to a memory card through a data logger system. The implementation steps are as follows: designing, assembling, individually testing each sensor, and testing the overall system. The performance of this tool is tested by comparing its measurement results to those of conventional measuring instruments. This tool has been proven to measure Isc, Voc, irradiance, ambient temperature and photovoltaic temperature simultaneously. Its measurement results show an average deviation of less than 2% compared to conventional measuring instruments. [ABSTRACT FROM AUTHOR]

Monitoring and protecting power plants with turbine vibration energy so that the generated electrical energy data can be monitored in real time and also as a protection when the vibrational energy generated could potentially harm the equipment or the surrounding environment. The mechanics of this system use a piezoelectric component attached by a holding pillar with a permanent magnet base that can be activated or turned off using a pin, then this monitoring system works by detecting the voltage and current generated by the piezoelectrician then processed by the microprocessor, the resulting data will be displayed on the LCD screen and will be stored on a memory card so that the data recorded can be used for other research purposes. On this device also available communication terminals that can be connected to various other devices such as smartphones, computers, or other IOT technology. Prior to being applied to large-scale power plant turbines, the current data collection method is being implemented in the State Polytechnic of Ujung Pandang Laboratory, using microcontrollers to process voltage data from Piezoelectric as well as vibration data that is synchronized with the time at the time of data collection. The voltage generated at the start of the experiment will continue to increase for 60 seconds as the given vibration energy increases. [ABSTRACT FROM AUTHOR]

Food and Public Distribution department, Government of India, National Food Security issues a ration card to all eligible households comes under economically weaker section to get the daily need groceries like rice, sugar etc. at very subsidized rate. It also serves as an official identification system. Due to this conventional system of ration distribution, lot of misusage and corruption may take place and hence to address this, a two level authentication based smart ration card system using Radio Frequency Identification (RFID) and IoT is developed. At ration store, for user authentication, smart card will be scanned over RFID reader, through microcontroller connected to server's database. To add second level security, One Time Password (OTP) will be sent to registered mobile number and is to be entered in the system. If OTP matches, user founds to be authentic and monthly ration quota of that user will be displayed and will be dole out. The database will be updated once the transaction is successful. Through this mechanism, government can monitor or observe the delivered ration and rationer also can check his status in the portal. [ABSTRACT FROM AUTHOR]

Modern fraud involves sending and taking money from a banker's account without the banker's permission using technology, such as the phishing technique for internet banking. There are a lot of credit card scams taking place, and some banks are having issues and others are providing services to banks. One of the worst consequences of the digital world is credit card fraud, in which transactions are conducted without the permission of the actual customers. Extortion situations related to credit cards are on the increase and are having a significant negative impact on the economy, negatively impacting both consumers and governmental organizations. These cases are a result of the rise in online shopping, online bill payment, insurance payments, and other costs brought on by the increased popularity of credit cards. Restoring the destruction done requires a significant amount of time and money. Credit card providers must be able to spot fraudulent credit card transactions if customers are to avoid receiving charged for items they did not purchase. At the same time, there was a rise in credit card fraud. Therefore, real-time detection of credit card fraud utilizing an AML technique is described in this work. Adaptive Machine Learning is a more advanced solution that takes real-time data collection and analysis seriously. As its name would suggest, it easily adapts to new information and provides insights almost instantaneously. [ABSTRACT FROM AUTHOR]

In order to accommodate the country's growing population, the number of apartment complexes has increased dramatically. Most new apartment complexes include a variety of modern amenities such as a supermarket, a medical centre, EV charging stations, vending machines, and many more. To use these amenities, we normally need to have a credit or debit card, or even cash on hand. Also, there are numerous identity and government cards that a person must carry with them at all times. Keeping track of all these cards can prove to be quite tedious and time-consuming. Furthermore, the majority of these apartments feature the standard lock and key method of unlocking the doors of the residing occupants which adds to the load of carrying about house keys along with all of the other cards. Life would be so much easier if we could replace all of these numerous bank cards with just one. Using a single card to access all services, such as EV charging or purchasing items, and even as your home door key. With the tap and go feature, the user does not have to pay at the same time but can make a payment all at once when the statement arrives at the end of the month, saving both time and keeping track of all transactions with ease. Hence, we propose in this paper a smart card that uses RFID technology to access all of the many amenities in apartment complexes. [ABSTRACT FROM AUTHOR]