Abstract:
The study, entitled "Online investment Assistant," is an application that aims to
guide and lead the user to make the most appropriate possible investment decision.
The purpose is not to have a computer surreptitiously anticipate the outcome of a
stock, but to put computer processing capacity and artificial intelligence
approaches to use in the e-commerce sector. The tool is designed to help investors
make stock investments based on their budget. The online investment assistant
allows the usei to keep track of the top trending products. It recommends the user
the top trending products in the market and provides them with a list of
manufacturers who manufacture those products. This will enable them to get their
hands on them. Then, by selecting the manufacturer or vendor from which the user
is purchasing the niche, our tool will present the market strategy for the selected
niche. Our investment assistant targets employees who are micro investors,
investing the average amount of their savings. As a first step, our app allows them
to enter their investment amount, and then the activity cycle proceeds to the
selection of a niche. Additionally, it displays the most trending and bestselling
products among a range of categories, along with A.I.-driven modules of best
sellers for them and for the best marketing strategy
