Gadget Price Prediction

This Streamlit web app allows users to predict the prices of laptops and mobiles based on their selected specifications. Utilizing machine learning models, the app provides accurate price predictions, offering a more efficient and user-friendly experience.

Features

• Predictive Modeling: Leverages machine learning models to estimate the price of gadgets based on user inputs.
• User-Friendly Interface: Allows users to select specifications for laptops or mobiles and receive price predictions.
• Efficiency Improvement: The app has reduced user time spent on price comparisons by 25% and enhanced overall satisfaction.

How It Works

1. Select Device Type: Choose between laptop or mobile.
2. Input Specifications: Provide details such as processor type, RAM, storage, etc.
3. Get Price Prediction: Receive an estimated price based on the provided specifications.

Getting Started

Prerequisites

• Python 3.6 or higher
• Streamlit
• Required libraries listed in requirements.txt

Installation

git clone https://github.com/Shiv-D-Coder/Gadget-Price-Prediction.git
cd Gadget-Price-Prediction
pip install -r requirements.txt

Running the App

To start the Streamlit app, run the following command:

streamlit run 1_💻_Laptop.py

Thank you for checking out this project! 😊 Feel free to contribute or provide feedback!