Artificial intelligence has become a crucial part of daily human lives today and it assists in almost every scenario whether you realize it or not. Every time you do a Google search, book a trip online, receive a product recommendation from Amazon, or open your Facebook newsfeed, which are just
MobiXpress
Artificial intelligence has become a crucial part of daily human lives today and it assists in almost every scenario whether you realize it or not. Every time you do a Google search, book a trip online, receive a product recommendation from Amazon, or open your Facebook newsfeed, which are just a few everyday instances. AI is lurking in the background. The online shopping platform you use collects and stores lots of information about your usage whether you like it or not. Google Analytics alone is capable of providing the online store with information like your location, your browser, device etc, apart from how much time you spend on each page.
All this led us to the inspiration of building an AI advanced mobile store (MOBIXPRESS) which users will be recommended with the top brands in the market and once they buy a mobile and when the user comes second time to purchase it so he will be recommended with the same feature mobile which he bought previously but of different and top rated brands. If some mobile of a specific brand is not available so he will be recommended the mobile of different brand but of same feature, furthermore we will be giving discounts on purchases and we are also trying the option of online payment.
the objective of the project is to design an AI (Artificial Intellegence) advanced mobile store in which user can solely purchase mobile on discounted rates. the some top and most searched mobile will be reccomended to them through AI. Our reccomendation algorithms will make the life easy for users to get the most best possible mobile according to their needs.
Our project is implemented through different phases. Before starting it, we made an prototype of it and doing some research that how will we achieve our targeted result. After that we started working on its design first which we made through HTML, CSS and BOOTSTRAP. Once the design was created, we focused on the backend side then, which is the code and uptill now we have completed almost all features of it. Our main feature which is of reccomendation algorithm, we are doing research on it so we do not leave any margin of error in it. The design which we have made is a user friendly design which will attract the users mostly.
The benefits of the project will be that there will be a app which will be solely made for mobile details, its reviews and comparsion analysis of the mobile. it will be an user friendly app for all users and with the add to compare feature user can compare any mobile with any other mobile so it will be easy for them to choose there best choice. The mobiles will be PTA approved so they dont need to worry about its legality. we will decrease the human efforts in this app and make it more reliable and durable for the people through our reccomendation algorithms.
We are going to use PHP LARAVEL as a backend technology. Software tools that we are looking forward to use are:
1. Php Storm
2. MYSQL (PHPMYADMIN) Framework
3. Xampp Server
4. Composer
5. Ajax
6. Bootstrap Studio
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Domain | Equipment | 1 | 10000 | 10000 |
| host | Equipment | 1 | 10000 | 10000 |
| cloud server (AWS) and database | Equipment | 1 | 50000 | 50000 |
| Total in (Rs) | 70000 |
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