🤖 Ecommerce Chatbot – Cylinder Booking Assistant

A simple chatbot project built using React (frontend) and Flask (backend) to simulate cylinder booking conversations. Deployed on Vercel (frontend) and Render (backend).

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🌐 Live Links

• 🔸 Frontend:https://ecommerce-chatbot-frontend-xdsk.vercel.com
• 🔸 Backend: https://ecommerce-chatbot-backend-glj7.onrender.com

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🧠 Features

• React + Vite-based chatbot UI
• Flask REST API for message processing
• Axios for HTTP requests
• Basic styling + user-friendly layout
• CORS enabled for cross-origin requests
• Easy deployment on Vercel and Render

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🖼️ Screenshot

Chatbot UI

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📁 Project Structure

/frontend → React + Vite frontend /backend → Flask backend API

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🚀 Local Setup

▶️ Backend (Flask)

cd backend
python -m venv venv
venv\Scripts\activate   # Windows
pip install -r requirements.txt
python app.py

Frontend (React)

cd frontend
npm install
npm run dev

📝 How It Works

• User types a message into the chatbot.

• Axios sends a POST request to:

• Flask receives the message and returns a reply.

• React updates the UI to display bot response.

🛠️ Tech Stack

-Frontend: React, Vite, Axios

-Backend: Python, Flask, Flask-CORS

-Deployment: Vercel (frontend), Render (backend)

📚 License

• MIT