README.md

Smartphone Price Predictor

A web application that predicts smartphone price ranges using a machine learning model deployed on AWS SageMaker.

Features

• Predicts smartphone price range in 4 categories:
  • Budget mobile phone
  • Lower mid-range phone
  • Upper mid-range phone
  • Premium phone
• Interactive web interface with real-time predictions
• Responsive design that works on desktop and mobile devices
• Handles 20 different smartphone specifications for prediction

Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Flask (Python)
• ML Model Deployment: AWS SageMaker
• AWS Services: AWS Sagemaker, AWS S3, AWS IAM, AWS CLI

Prerequisites

• Python 3.x
• AWS Account with appropriate credentials
• Boto3 library
• Flask

Installation

1. Clone the repository

git clone https://github.com/souradeepdutta/Mobile-Price-Predictor-using-AWS-Sagemaker.git
cd smartphone-price-predictor

2. Install required packages

pip install flask boto3

3. Configure AWS credentials

aws configure
AWS_ACCESS_KEY_ID='your-access-key'
AWS_SECRET_ACCESS_KEY='your-secret-key'
AWS_REGION='ap-south-1'

Usage

1. Start the Flask application:

python app.py

2. Open a web browser and navigate to http://localhost:5000

3. Enter the smartphone specifications in the form:

   • Basic specifications (RAM, storage, processor, etc.)
   • Camera details
   • Screen specifications
   • Additional features (Bluetooth, WiFi, etc.)

4. Click "Predict Price Range" to get the prediction

Screenshots

Smartphone Price Predictor Web Interface

Youtube Walkthrough