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  Authors

Rohit Reddy Bollam,Kupilli Suresh Chandra,Pranav Tej Lalapeta,Gedi Mahith Reddy

  Keywords

Smart Bot, E-commerce, Machine learning, Credit card fraud detection, Chat bot, Pattern recognition, Data analysis, Customer service, Natural language processing, Online shopping, Fraud prevention Fraud detection, Customer engagement, User-friendly interface, Personalized assistance

  Abstract


Smart Bot is an innovative e-commerce machine learning system that combines powerful credit card fraud detection capabilities and an intelligent chat bot. This advanced platform leverages machine learning algorithms to examine and spot fraudulent activity trends in real-time, providing e-commerce businesses with robust protection against credit card fraud. Through the use of sophisticated data analysis and pattern recognition techniques, Smart Bot is able to accurately detect suspicious transactions, preventing potential financial losses and ensuring a safe and secure online shopping experience for both merchants and customers. Additionally, Smart Bot comes equipped with a conversational chatbot that enhances the customer service experience by providing quick and accurate responses to inquiries and support requests. It utilizes natural language processing algorithms to understand and interpret customer messages, delivering personalized and relevant assistance, product recommendations, and order tracking updates. With Smart Bot, e-commerce businesses can effectively combat credit card fraud while simultaneously improving customer engagement and satisfaction. This innovative solution offers a comprehensive and reliable fraud detection system combined with a user-friendly chat-bot interface, empowering businesses to protect their financial interests and provide an exceptional customer experience. detection of credit card fraud, machine learning, e-commerce, chat bot, pattern recognition, data analysis, customer service, natural language processing, online shopping, fraud prevention.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4223

  Paper ID - 252922

  Author type - Indian Author

  Page Number(s) - k713-k721

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  No Of Downloads - 58

  Author Country - India, 500050, Hyderabad, Hyderabad, 500050, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT24A4223

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4223

  Published Paper PDF Downlaod: - download.php?file=IJCRT24A4223

  Cite this article

Rohit Reddy Bollam,Kupilli Suresh Chandra,Pranav Tej Lalapeta,Gedi Mahith Reddy,   "Smart Bot: E-commerce ML with Credit Card Fraud and Chat-bot", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.k713-k721, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4223.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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