Recommendation System and Price Prediction using Deep Learning Model and Random Forest Regression

This paper presents an integrated e-commerce framework using Convolutional Neural Networks (CNN) for query resolution and Random Forest Regression for price prediction. It employs web scraping to extract data from Amazon and Flipkart, generating relevant URL links based on user specifications, with MongoDB managing the dataset. Experimental results show the system’s effectiveness in providing precise and tailored responses, enhancing the e-commerce experience.