Smar Sales Reccomendation Sytem is basically a project intended for the fashion industry which will anaylze their data and determine what type of products the customers are intrested in and why. What attributes of the product is the most influential to the customer and why.
Smart Sales recommendations
Smar Sales Reccomendation Sytem is basically a project intended for the fashion industry which will anaylze their data and determine what type of products the customers are intrested in and why. What attributes of the product is the most influential to the customer and why.
The project consist of the following objectives
1)Predict whether a product will sell or not based on its attributes.
2) Determine what are the most influential attributed influencing a product to be sold.
3) Determine what characterstic are the most influential for product to be sold.
4) Determine the combination of characterstic which influences the most selling.
5) Demostrate the results in a webapplication with various charts.
The project will consist of using machine learning algorithm in python . First we will clean the data to ready it for the algorithm and than use random forest algorith to determine the importance of each attribute. Than filter and select for characterstics and so on .
Once this is done we will display the result using django framework.
A web application which will have a pre trained model of your data displaying most infuential attributes and characterstics of product. Allow you to predict whether product will sell or not. Display a number of graphs justifyinf the results
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Smart Sales Reccomendation System | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 70000 |
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