DIAMOND PRICE PREDICTION

Diamond Price Prediction is an application to predict the price of diamond by their properties.

Features

• Carat : Carat weight of the Diamond.
• Cut : Describe cut quality of the diamond. Quality in increasing order Fair, Good, Very Good, Premium, Ideal .
• Color : Color of the Diamond. from J (worst) to D (best)
• Clarity : Diamond Clarity refers to the absence of the Inclusions and Blemishes. In order from worst to best :- I1,SI2, SI1, VS2, VS1, VVS2, VVS1, IF
• Depth : The Height of a Diamond, measured from the Culet to the table, divided by its average Girdle Diameter.
• Table : The Width of the Diamond's Table expressed as a Percentage of its Average Diameter.
• Price : the Price of the Diamond.

DATA CATEGORY'S

• Qualitative Features (Categorical) : Cut, Color, Clarity.
• Quantitative Features (Numerical) : Carat, Depth , Table , Price.

Tools used

• python 3.8
• anaconda - jupyter notebook
• backend api: flask
• frontend : HTML,CSS & JAVASCRIPT
• webscraping - beautifulsoap(bs4)

MODEL USED

Random Forest Regressor

Accuracy

The accuaracy of model is 96.74

Input

Fill the Information about diamond required by model in web app's UI

Output

The model will predict the price of diamond in dollars($) , it is converted into INR using webscraped dollar value and dispayed in output page