Recommendation for Clothes of E-commerce Site for Online Shopping Test phase, srs, design phase and source code final deliverable

Recommendation for Clothes of E-commerce Site for Online Shopping Test phase, srs, design phase and source code final deliverable

Project Domain / Category
Web Application / Artificial Intelligence

Abstract / Introduction
In brand new contemporary age, the Lifestyle of human beings may be very one-of-a-kind from those who used to be inside the past. People within the past feel uncomfortable and time-ingesting going to crowded markets for purchasing. The time period “E-trade” has emerged ever since the IT Boom has taken region round the sector. The use of E-trade shopping has stored human beings plenty of time as they are able to do online shopping with it. Online buying is a technique by which customers should buy products, goods, services, and so on. Without delay from the seller without any intermediate service over the net. The consumer can visit internet stores from the comfort in their residence and keep as via sitting in front of the pc. Online stores are normally available 24 hours an afternoon and plenty of clients have internet get entry to each at paintings and at domestic. So it’s miles very convenient for them to store on-line.

In the previous few many years, there was a sizable increase in web services like YouTube, Amazon, and Netflix, and many others. Due to this upward thrust, recommender systems have taken increasingly more locations in our lives. From e-commerce (advise to customers articles, products that might interest them) to online advertisement (suggest users the relevant contents, matching their choices) recommender structures are nowadays unavoidable in our each day on-line trips. Companies like Amazon, Netflix, LinkedIn, and Pandora leverage recommender structures to help customers discover new and applicable objects. In popular, recommender/advice systems are a category of set of rules that objectives at suggesting relevant objects to the person (gadgets include movies to watch, text to read, merchandise to shop for, and many other tangible entities). The important goal of this E-trade internet site for on-line buying might be carried out in modules. In the first module software will facilitate the user such an interface in which he/she should purchase online clothes from the net application reliably and efficiently. In the second module, the application will recommend the consumer, clothes based totally on his/her shopping for history.

Functional Requirements:
Module 1:
1) Users may be capable of log in to the system using his/her Id and Password.
2) Users can view the goods.
3) The machine should provide an option to the consumer from which he/she will search the products of his/her desire.
Four) The device must offer the user an interface via which he/she can purchase the products by means of supplying his/her card (debit/credit score) information.
5) The gadget must organized the goods in the sort of manner that, Winter and summers merchandise (garments) must be underneath separate sections.
6) Admin must be able to log in to the device the use of his/her Id and Password.

7) Admin have to be capable of upload the Products (clothes) item to the list, which will be considered by means of the consumer.
8) Admin can also be able to manipulate the information of the person.

Module 2:
1) The gadget must be able to advise the products to the consumer based totally on his/her shopping for history.
2) For implementing the recommendation capability to your Project you need to use AI (Machine Learning) based Approach. Rule based totally method will not be applicable for this functionality.
Three) To put into effect the advice feature you could either use collaborative or content primarily based filtering technique in your application. Most foremost one is to apply the collaborative method.
To get knowledge/information approximately recommendation structures Visit the subsequent links:

 https://www.Analyticsvidhya.Com/blog/2018/06/complete-manual-recommendation- engine-python/
 https://tryolabs.Com/blog/advent-to-recommender-systems/ https://builders.Google.Com/device-learning/advice/overview
 https://www.Kdnuggets.Com/2019/09/gadget-mastering-recommender-structures.Html
 https://www.Youtube.Com/watch?V=Eeg1DEeWUjA
 https://www.Youtube.Com/watch?V=jhFFOmvPne4&listing=RDCMUCyHta2dyCTkf29AB67AYn7A &start_radio=1&t=484

Note: You can personalize or add more features into this machine to make it greater refined.

Tools:

Programming Language: Python (No different programming language is allowed except python)
Frameworks: Django, Flask, Bootstrap, and many others.
IDE: Visual Studio Code, Pycharm, or some other Modern IDE

Supervisor:
Name: Saad Ahmed