Diamond Price Prediction

Keywords: Diamond, Price

Background

The diamond industry holds significant economic value, with diamonds being both precious gemstones and industrial materials. The price of a diamond is influenced by a multitude of factors, including the 4Cs (carat weight, cut, color, and clarity), market demand, and macroeconomic conditions. Traditionally, diamond price estimation has relied on expert gemological assessments, which can be subjective and time-consuming. With the advent of technology, there's a growing interest in utilizing data-driven approaches, particularly Deep Learning (DL) and Artificial Neural Networks (ANNs), to predict diamond prices more accurately. DL-ANN, a subfield of machine learning, has shown remarkable success in various domains due to its ability to extract complex patterns from large datasets. Applying this approach to diamond price prediction has the potential to offer more objective, consistent, and efficient pricing models. By harnessing the power of DL-ANN, we can create a predictive model that takes into account a broader range of factors and delivers more reliable price estimates for diamonds.

Aim & Objectives

Aim
To Predict the Diamond Price Using DL Techniques
Objective
the potential benefits of utilizing Deep Learning (DL) and Artificial Neural Networks (ANNs) in predicting diamond prices. The focus is on leveraging technology to develop a more objective, consistent, and efficient pricing model that takes into account a broader range of factors, ultimately leading to more reliable price estimates for diamonds.

Research Methodology

ANN Technique used

Software & Tools

Jupyter, Google Collab

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