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-# Recipe_chatbot
+# Recipe Chatbot
 
-## Run Frontend
-'cd frontend-react'
-'npm start'
 
-## Run Backend
-'cd backend-socket.io'
-'node server.js'
+## Overview
+This project implements a Recipe Chatbot with a React frontend and a Node.js backend. 
+The chatbot allows users to inquire about recipes, and it provides information on various dishes based on user queries.
+
+## Project Structure
+Project Structure
+
+1. Frontend (React):
+   1. File: App.js
+   2. Component: ChatbotComponent.js , Header.js, InputSection.js, Message.js, MessageSection.js , TextMessage.js
+   3. Interaction: Users can communicate with the chatbot to get recipes.
+2. Backend (Node.js with Express and Socket.IO):
+   1. File: recipe.js
+   2. Server: Express with Socket.IO for real-time communication
+   3. Interaction: Handles incoming messages from the client, processes them using the findAnswer function, and sends back recipe information.
+
+## Installation
+
+1. Backend Dependencies:
+   1. Open a terminal in the project's root directory.
+   2. Run the following command to install the necessary backend dependencies:
+   'npm install express socket.io'
+
+2. Frontend Dependencies:
+   1. Navigate to the frontend directory (or the directory containing your React app).
+   2. Run the following command to install frontend dependencies:
+   'npm install'
+
+## Running the Application
+
+1. Backend:
+   1. In the root directory, run the following command to start the backend server:
+   'node recipe.js'
+   2. The server will start running on port 3000. You should see a message indicating that the server is listening.
+
+2. Frontend:
+   1. Navigate to the frontend directory (or the directory containing your React app).
+   2. Run the following command to start the React development server:
+   'npm start'
+   3. The React app will be available in your browser at http://localhost:3000.
+
+## Usage
+
+1. Open your web browser and go to http://localhost:3000 to interact with the Recipe Chatbot.
+2. Type messages in the chat to inquire about recipes. The chatbot will respond with recipe information based on the user's queries.
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