🛒 Online Shopping Chatbot

This project is an Amazon Lex chatbot named OnlineShoppingBot designed to assist users with online shopping. It collects customer details, guides users through product selections, and provides a personalized shopping experience.

🎯 Features

• Collects basic customer details (Name, Email, Contact Number, Address).
• Offers product selections from various categories like Electronics, Clothing, Home Appliances, Beauty products, groceries etc.
• The bot suggests products based on user preferences. – Users can add/remove products before checkout. Captures customer details and finalizes purchases.
• Uses advanced Amazon Lex features for a seamless conversation flow.

🛠️ Tech Stack & Tools

Technology Usage Amazon Lex Natural Language Understanding (NLU) for chatbot interactions AWS Lambda Backend processing & API integration DynamoDB Storing user data and order details Flask Web integration for chatbot Python Backend scripting & API calls (boto3, requests, json)

🚀 Getting Started

1. Clone the Repository

git clone https://github.com/Apoorva-Bhat23/OnlineShoppingBot.git
cd OnlineShoppingBot

2. Install Dependencies

pip install -r requirements.txt

3. Deploy to AWS Configure AWS CLI:

aws configure

Upload Lambda functions & deploy Lex bot:

aws lex-models put-bot --name OnlineShoppingBot --cli-input-json file://bot_config.json

4. Run Locally

python app.py

Then open http://localhost:5000 in your browser.

🎯 Future Enhancements

• Voice Shopping Integration – Support for Alexa & Google Assistant
• Payment Gateway – Secure checkout via Stripe/PayPal
• Multilingual Support – Expand bot capabilities for different languages

📜 License

This project is licensed under the MIT License.