NetPrism: Developing a Machine Learning Model for Predicting Product Prices
NetPrism develops software for understanding e-commerce trends. Our capstone project addresses the common problem of uncertainty in determining the best time to purchase a product. To solve this issue, we developed a Machine Learning model that leverages thousands of historical price data points to accurately predict the price of a product in the next 30 days. Our Price Prediction model provides graphical price predictions that enable individuals to make informed purchasing decisions, leading to more effective allocation of resources and less overspending. Our project demonstrates the utility of data analytics in bettering everyday finances.
Project sponsored by: NetPrism
Project participants:
Grackie Jiang
Informatics
Victoria Murphy
Informatics
Franchezca Layog
Informatics
Harmeet Singh
Informatics
Samir Ouijdani
Informatics