Ecommerce ChatBot

About The Project

This AI-powered chatbot enhances the shopping experience by offering personalized recommendations, and seamless customer support.

Features

• AI-driven product recommendations
• Multi-platform integration (Web, WhatsApp, Telegram, etc.)
• Natural Language Understanding (NLU) with NLP models

Screenshot

Key Technologies

• LangChain – AI Framework
• LangChain-AstraDB – Vector storage
• LangChain-Community – LangChain tools
• LangChain-Groq – Fast inference
• LangChain-HuggingFace – Provides embeddings
• Flask – Deploys the chatbot as

Table of Contents

• Getting Started
• Contributing
• License
• Contact
• Acknowledgements

Getting Started

To get started with this project locally, you’ll need Python 3.10+ installed on your machine along with the necessary Python packages. You can either clone the repository and install dependencies manually or use Docker for an isolated environment.

Installation Steps

1. Clone the repository:

   • Open your terminal or command prompt.
   • Navigate to the directory where you want to install the project.
   • Run the following command to clone the GitHub repository:

   git clone https://github.com/shubhamprajapati7748/ecommerce-chatbot.git

2. Create a Virtual Environment (Optional):

   • It's recommended to use a virtual environment to manage dependencies. Run the following command:

   conda create -p <Environment_Name> python==<python version> -y

3. Activate the Virtual Environment (Optional):

   • Activate the virtual environment based on your operating system:

   conda activate <Environment_Name>/

4. Install Dependencies:

   • Navigate to the project directory:

   cd [project_directory]

   • Run the following command to install project dependencies:

   pip install -r requirements.txt

5. Create .env file and add your API keys:

   • Create a .env file in the root directory and add your Google Gemini API key for LLM interaction.

6. Run the Project:

   • To start the application, run the following command:

   python app.py

7. Access the Project:

   • Visit http://127.0.0.1:5000 in your browser to use the app.

Contributing

Contributions to the Google Gemini-Pro Chat Application are welcome! If you have suggestions, enhancements, or bug fixes, please follow the steps below:

1. Fork the project.
2. Create your feature branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Open a pull request.

License

Distributed under the MIT License. See LICENSE.txt for more information.

Contact

• Shubham Prajapati - shubhamprajapati7748@gmail.com

Acknowledgements

• Google Gemini for providing LLM to process the user requests and generate the response in this project.