An Efficient Artificial Intelligence (AI) and Internet of Things (IoT's) Based MEAN Stack Technology Applications

Rana Waleed, Arshad Ali, Samra Tariq, Ghulam Mustafa, Hussnain Sarwar, Sadia Saif, Maham Zulfiqar, Hamayun Khan and Irfan Uddin
Additional contact information
Rana Waleed: Arcane Software Solution, Ahmed Avenue College Road, Township Lahore, 54000, Pakistan
Arshad Ali: Faculty of Computer and Information Systems, Islamic University of Madinah, Al Madinah Al Munawarah, 42351, Saudi Arabia
Samra Tariq: Devphics, Software solution Lahore, 54000, Pakistan
Ghulam Mustafa: Innovation Support Centre (TISON) LUMS, Lahore University of Management Sciences, Lahore, 54000, Pakistan
Hussnain Sarwar: Binary Tech Software Solution Model town, Lahore, 54000, Pakistan
Sadia Saif: Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
Maham Zulfiqar: Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
Hamayun Khan: Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
Irfan Uddin: Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan

Bulletin of Business and Economics (BBE), 2024, vol. 13, issue 2, 200-206

Abstract: This paper examines the components of the MEAN development stack integration with artificial intelligence (AI) and Internet of things (IoTs), we see that we are a part of a society where technology has its roots in every aspect of life. No part of our daily life is not affected by the impact of technology. Such technology has now become an essential core part of our life that we use both consciously and unconsciously. Having such a technology assisting us in our daily needs has brought about extreme changes. People do need to depend on such technology to fulfill their smallest needs today. A greater means is using classified e-commerce stores or classified e-commerce websites for their specific needs. A very large number of people use such e-commerce classified websites daily to buy things like Mobile Phones, Clothing, Electronics Devices, and so on. Given the rising need for such a platform, we have created a platform for buying or selling cars, laptops, or mobile considered in the secondhand or used category with such functionality to provide relatively accurate market prices. Our platform is built with technologies including MongoDB, Angular framework, RxJS, NgRx, HTML, CSS, JavaScript, ExpressJS, NodeJS, Python, Sci-Fi Kit Learn, DialogBox, Stripe APIs, Twilio, Rest APIs, Email Validator. The classified e-commerce website is completely responsive and easy to navigate through pages. An admin panel will manage all the registered users and processing. The website will have multiple pages for the users including Category, Price, FAQ, Contact Us, About Us, Signup/Sign in, Account, and Store. The website interface will change depending on whether the user is logged in or not. For customers, the website will have a search box implemented with NLP technology for customers to search out their exact needs effortlessly. The paper also describes an approach to establishing a secure mechanism for communicating with IoT devices, using pull-communications. Different types of services will be given to customers like smart inspection using AI and limited physical inspection. For premium users, a greater number of services are part of the package.

Keywords: Artificial Intelligence AI; Internet of things IOTs; Classified E-Commerce Platform; Smart Chatbot; Smart Price Prediction Model; MongoDB; Angular framework; RxJS; NgRx; HTML; CSS; JavaScript; ExpressJS; NodeJS; Python; Sci-Fi Kit Learn; DialogBox; Stripe APIs; Twilio (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:13:y:2024:i:2:p:200-206

DOI: 10.61506/01.00316

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