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Jewelry Ring Appraisal

Overview

Jewelry Ring Appraisal is a machine learning model and web application designed to evaluate the value of jewelry rings. The project combines a Flask web app with a Random Forest regression model to provide accurate appraisals based on various jewelry features.

Features

  • Machine Learning Model: Utilizes a Random Forest regressor for predicting jewelry ring values.
  • Flask Web Application: Provides an interactive interface for users to input jewelry data and receive appraisals.
  • Data Visualization: Displays appraisal results and visualizations in a user-friendly format.

Datasets

The app uses the following datasets for training and evaluation:

Technologies Used

  • Machine Learning: Python, Scikit-Learn, Random Forest
  • Web Development: Flask, HTML, CSS, Bootstrap, JavaScript, jQuery
  • Data Science: Pandas, Jupyter Notebook
  • Data Cleaning: Data preprocessing and feature engineering