Café Companion

Welcome to the Café Companion project! This project aims to enhance the customer experience and streamline operations at any Café through the implementation of a comprehensive admin dashboard, a WhatsApp chatbot, and a mobile app.

Features

Admin Dashboard

• Data Analytics:

  • Future sales projections.
  • Distribution of order types (dine-in or delivery).
  • Top 3 purchased products and their sales volume.
  • Competitor analysis with nearby coffee stores.
  • Rating trends and user feedback analysis.
  • Improvements checklist based on user feedback and reviews.
  • Sales database for detailed insights.

• Chatbot Integration:

  • SQL database query functionality.
  • Insightful queries such as most selling products, least bought items, etc.

WhatsApp Chatbot

• Features:
  • Place orders directly from the chat.
  • Submit reviews and feedback directly from the chat.
  • Coffee recommendations and personalized suggestions for users.

Mobile App

• Features:
  • Order placing feature for convenient ordering.
  • Recommended items based on user preferences.
  • Augmented Reality (AR) view of coffee takeaway for an interactive experience.

Technologies Used

• Web App: Nextjs, TailwindUI
• Mobile App: React Native, React Native Paper,
• Backend: Flask, Selenium, SocketIO
• Database: MySQL
• Chatbot: Puppeteer web automation (for WhatsApp integration), LangChain
• Data Visualization: Chart.js
• AI/ML: Sk-learn, Langchain(GooglePalm)

Installation

1. Clone the repository:

   git clone  https://github.com/Sidd-R/Cafe-Companion
   

2. Install dependencies

3. Set up the database: Create the necessary tables and schemas as defined in the SQL scripts

4. Configure environment variables: Create a .env file and define variables such as database connection details, API keys, etc.

5. Run the Application

Contributors

• Siddhant Rao(@Sidd-R)
• Navneet Nair(@navneetnair7)
• Satyam Jaiswal(@1SatyamJaiswal)
• Vikas Rajpurohit(@Vikas-Rajpurohit)