Tech Guru - AI-Powered Chatbot for E-commerce

We are a team of passionate scientists and developers who have created Tech Guru, an AI-powered chatbot designed to bring the personalized service of a physical sales team to your online store. This application not only engages customers in real-time conversations but also provides personalized recommendations using advanced client data analysis.

Additionally, we provide a comprehensive dashboard for administrators to track key metrics and make informed decisions about the business.

Contributors

• David Najera Escobar
• David Morales Norato

Features

• AI-Powered Chatbot:

  • Real-time customer engagement.
  • Personalized recommendations based on client data.
  • Automated responses for product features, pricing, and availability.

• Admin Dashboard:

  • Real-time performance analytics.
  • Revenue tracking and customer engagement metrics.
  • Insights into best-selling products and trends.

Tech Stack

• Backend: Python, Flask
• AI Integration: Natural Language Processing (NLP) using OpenAI's GPT API
• Database: SQLite
• Frontend: HTML, CSS, JavaScript

Installation

1. Clone the repository:

   git clone https://github.com/David-Morales-Norato/makers_application.git
   cd makers_application

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   • Add your OpenAI API key to the environment variables:

     export OPENAI_API_KEY='your-openai-api-key-here'

     On Windows, use:

     set OPENAI_API_KEY=your-openai-api-key-here

5. Run the application:

   python main.py

6. Access the application:

   • Open your browser and go to http://127.0.0.1:5000

Usage

• Customer Engagement: Interact with the AI chatbot on your store's interface.
• Admin Dashboard: Monitor store performance metrics and gain insights into product sales and customer engagement.

Project Structure

• main.py: Entry point to run the application.
• app/: Contains the Flask application logic.
• static/: Frontend files (HTML, CSS, JS).
• templates/: HTML templates for the app.
• database.db: SQLite database file.
• requirements.txt: List of dependencies.

License

This project is licensed under the MIT License. See the LICENSE file for more details.