An Efficient Artificial Intelligence (AI) and Internet of Things (IoT's) Based MEAN Stack Technology Applications
DOI:
https://doi.org/10.61506/01.00316Keywords:
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, TwilioAbstract
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.
References
A. K. Sharma. (2022). Big buy (e-commerce) by using mern. International Journal for Modern Trends in Science and Technology, 6, 106 – 111.
J. Eddie. (2024). Why MEAN Stack is Best for Web Development? Enlear Acadamy – Medium.
Robert, (2024). MEAN vs MERN: A Head-to-Head Comparison. Eluminous Technologies. 4.
N. Nirgudka and P. Singh (2017). The Mean Stack. International Research Journal of Engineering and Technology, vol. 4, no. 5, 2017.
S. Thakkar. (2023). Integrating Ai And Machine Learning With Node.Js For Mobile App Development. IconFlux, 10 2023.
G. Bianchi, R. Bruni and F. Scalfati. (2022). Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms. Mathematical Problems in Engineering, 1, 208.
Geeks F. G. (2024). MERN STACK. Geeks For Geeks, 11 2023.
L. W. Alwis. (2024). Integrating Machine Learning Models into your MERN App. Masterlwa Medium, 3 2024.
A. Mondal. (2024). How to Build Your AI Chatbot with NLP in Python? Analytics Vidhya, 4.
E. S. A. A. S. Soegoto. (2018). Design of E-commerce Information System on Web-based Online Shopping. IOP Conference Series: Materials Science and Engineering, 407, 2018.
R. Yazdani, M. J. Taghipurian and M. M. Pourpasha. (2022). Attracting Potential Customers in E-Commerce Environments: A Comparative Study of Metaheuristic Algorithms. A Comparative Study of Metaheuristic Algorithms, 10, 369.
S. I. M. A. Sabha. (2016). An Automated Generation of Business Application using Entity Relationship Diagram and Business Process Model. 2016.
T. L. J. H. W. A. E. Y. L. Hsia. (2022). The e-commerce value matrix and use case model: A goal-driven methodology for eliciting B2C application requirements. Information & Management, 1, 45.
N. Duttaroy. (2022). Voice Controlled E-commerce Web App. International Research Journal of Engineering and Technology (IRJET), 1, 9.
S. A. Y. D. Chang. (2022). Application of Face Recognition in E‐commerce Security Authentication in the Era of Big Data. Security and Communication Networks, 1, 2022.
