Keywords: Mobile, Price
The project aims to leverage deep learning methods for predicting mobile prices. By analyzing diverse mobile features, it seeks to develop a model that can accurately forecast prices. This could empower consumers with better decision-making insights and offer businesses valuable pricing strategies. The project contributes to understanding the potential of DL techniques in providing reliable price predictions, addressing the dynamic nature of the mobile market.
Aim
To Predict the Price of Mobile Using DL Techniques
Objective
Create DL model to estimate mobile prices.
Train model with mobile features for accurate predictions. Evaluate model's effectiveness in price forecasting using DL techniques.
ANN Technique used
Jupyter, Google Collab
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