Hotel Campaign Automation

Project Overview

This project aims to optimize marketing campaigns and improve occupancy rates for hotels using the Gemini API version 1.5. It integrates various machine learning models for time series forecasting, customer segmentation, and campaign triggering.

Setup Instructions

Backend Setup

1. Clone the repository:

   git clone https://github.com/VishwamAI/Ocean-Tides.git
   cd Ocean-Tides/hotel_campaign_automation

2. Install dependencies using Poetry:

   pip install poetry
   poetry install

3. Run the FastAPI application:

   poetry run uvicorn hotel_campaign_automation.app:app --reload

Frontend Setup

1. Navigate to the frontend directory:

   cd Ocean-Tides/hotel_campaign_automation/frontend

2. Install dependencies:

   npm install

3. Start the React application:

   npm start

Backend Details

• Time Series Forecasting Models: LSTM, ARIMA, Prophet
• Customer Segmentation Models: K-Means, DBScan
• Campaign Trigger Models: XGBoost, Random Forest
• Framework: FastAPI
• Endpoints: Content generation, campaign optimization

Frontend Details

• Framework: React
• Styling: Chakra UI
• Pages: Home, Login, Dashboard
• Routing: React Router

Usage Instructions

1. Access the application at http://localhost:3000.
2. Log in using your credentials.
3. Navigate through the dashboard to view and manage campaigns.

Contribution Guidelines

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Submit a pull request with a detailed description of your changes.

License Information

This project is licensed under the MIT License.