E-commerce Chatbot

Welcome to the E-commerce Chatbot project! This chatbot is designed to assist users with their online shopping experience by providing product recommendations, answering questions, and assisting with various inquiries related to the ecommerce store.

Overview

The Ecommerce Chatbot is built using Python and Flask framework. It leverages natural language processing (NLP) techniques to understand user queries and generate appropriate responses. The chatbot integrates with the ecommerce store's product database to provide personalized recommendations and information about available products.

Features

Interactive chat interface for users to interact with the chatbot.
Natural language processing for understanding user queries.
Product recommendation engine based on user preferences and browsing history.
Integration with the ecommerce store's product database.
Ability to handle various user inquiries such as product availability, pricing, shipping information, etc.

Installation

To set up the Ecommerce Chatbot locally, follow these steps:

Step-1: Clone the repository to your local machine:

    git clone https://github.com/jatin-12-2002/E-Commerce_ChatBot_Project

Step-2: Navigate to the project directory:

    cd ecommerce-chatbot

Step 3: Create a conda environment after opening the repository

    conda create -p env python=3.10 -y

    conda activate ./env

Step 4: Install the requirements

    pip install -r requirements.txt

Step-5: Set up environment variables:

Create a .env file in the project directory.
Define the necessary environment variables such as database connection strings, API keys, etc.
My .env file is here

Step-6: Run the Flask application:

    python app.py

AWS DEPLOYMENT

Step-1: Push your entire code to github

Step-2: Login to your AWS account Link

Step-3: Launch your EC2 Instance

Step-4: Configure your EC2 Instance

Step-5: Command for configuring EC2 Instance.

INFORMATION: sudo apt-get update and sudo apt update are used to update the package index on a Debian-based system like Ubuntu, but they are slightly different in terms of the tools they use and their functionality:

Step-6: Connect your EC2 Instance and start typing the following commands

Step-7: This command uses apt-get, the traditional package management tool.

    sudo apt-get update

Step-8: This command uses apt, a newer, more user-friendly command-line interface for the APT package management system.

    sudo apt update -y

Step-9: Install required tools.

    sudo apt install git curl unzip tar make sudo vim wget -y

Step-10: Clone git repository.

    git clone https://github.com/jatin-12-2002/E-Commerce_ChatBot_Project

Step-11: Create a .env file there.

    touch .env

Step-12: Open file in VI editor.

    vi .env

Press insert and Mention env variable then press esc for saving and write :wq for exit.

cat .env #for checking the value

Step-13: For installing python and pip here is a command

    sudo apt install python3-pip

Step-14: install the requirements.txt. The --break-system-packages flag in pip allows to override the externally-managed-environment error and install Python packages system-wide.

    pip3 install -r  requirements.txt --break-system-packages

The --break-system-packages flag in pip allows to override the externally-managed-environment error and install Python packages system-wide. pip install package_name --break-system-packages

Step-15: Configure your inbound rule:

Go inside the security
Click on security group
Configure your inbound rule with certain values
Port 5000 0.0.0.0/0 for anywhere traffic TCP/IP protocol

Step-16: Save it and now run your application.

    python3 app.py

jatin-12-2002/E-Commerce_ChatBot_Project