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Flight Buddy - Automated Flight Data Analysis and Personalized Travel Recommendations

Flight Buddy is an advanced Robotic Process Automation (RPA) tool designed to revolutionize flight booking and travel planning. Combining the power of UiPath, Python, and AI-driven insights, Flight Buddy simplifies the process of finding flights, analyzing travel data, and providing users with personalized travel recommendations.

Dashboard

Features

  • Automated flight search and data scraping from MakeMyTrip.
  • Python-powered data analysis to identify the most economical and shortest flights.
  • Real-time visualization of key insights using Matplotlib.
  • Seamless integration with ChatGPT API for personalized travel details.
  • Comprehensive reports emailed directly to the user, including:
    • Cheapest and fastest flights.
    • Average fare per airline.
    • Airport amenities like lounge access and restaurant options.

Project Workflow

  1. Collect User Details

    • Gather user information, including travel dates, destinations, and preferences via UiPath workflow.

  2. Input Data into MakeMyTrip

    • Automate user detail entry on the MakeMyTrip website using UiPath Browser activities.

  3. Scrape Flight Data

    • Extract real-time flight information (e.g., duration, price, airline) and store it in an Excel file.

  4. Export Data to Excel

    • Organize and save the scraped data in an Excel sheet for further analysis.

  5. Analyze Data

    • Use Python and Pandas to:
      • Find the most economical and shortest flights.
      • Calculate average fares per airline.

  6. Visualize Insights

    • Generate detailed graphs using Matplotlib for:
      • Cost comparison.
      • Flight durations.
      • Airline performance.

  7. Leverage LLM (Large Language Model)

    • Send the analyzed flight data to ChatGPT via OpenAI API for additional insights, such as:
      • Airport amenities (lounge access, restaurant options).

  8. Compile and Organize

    • Combine data analysis, visual representations, and ChatGPT insights into a comprehensive summary.

  9. Email Report

    • Deliver the final report to the user via email, providing all relevant travel insights in an easy-to-read format.

Architecture

  • Frontend: UiPath workflows for automation.
  • Backend:
    • Python for data processing and analysis.
    • Matplotlib for visualization.
    • OpenAI API for enhanced travel insights.
  • Data Storage: Excel for intermediate data organization.

Installation and Setup

  1. Clone this repository:

    git clone https://github.com/Sushmit1/flight-buddy.git
cd flight-buddy

  2. Install required dependencies:

    • Install Python Libraries: 
      pip install pandas matplotlib openai
    • Setup UiPath and integrate workflows.

  3. Obtain API keys for OpenAI ChatGPT

  4. Configure email settings for report delivery.

Usage

  1. Run the UiPath workflow to gather user details and scrape flight data.
  2. Execute the Python script to analyze the data and generate visualizations.
  3. Send analyzed data to ChatGPT for additional insights.
  4. Review the emailed final report.