CodeREDPros2024

What It Does

• Create an airline chatbox that when the users type in their cirtiria, it going to look up the suitable flight for them.
• Extract users' input to JSON file using OpenAI.
• Insert the JSON file to Amadeus API to generate the matching results to another JSON file.
• Use OpenAI to convert the result JSON file back to NLP and output the answer to the users.

Look At Our Project Now

• Devpost: https://devpost.com/software/vpt-nlp-for-flight-booking
• Demo: https://www.youtube.com/watch?v=fDNwpJHFoFQ&feature=youtu.be
• Our app on Google Cloud Platform: coderedpros2024-kxh4l6ww2a-uc.a.run.app (Still limited, slow response)
• Presentation of our project: https://docs.google.com/presentation/d/1n8TVsf2uRkuM_XLk6rV68kIzo7Ub7rWpxZhKvM_UQb0/edit#slide=id.p1

Tools of Developments

• Front-end: HTML/CSS.
• Back-end: Flask (Python).
• APIs: OpenAI, Amadeus.

Challenges

• Convert the input cities to their airport code.
• Convert the different input dates to a uniform format.
• Handle the front-end input to make an understandable JSON file in the back-end for further generation.

Accomplishments

• Create a functioning chatbox website with appealing UI
• Manage large flights dataset in order to give an appropriate response.
• Implement a feature that transfer speech to text input.

How to use the program

• Clone the project by

git clone https://github.com/bindle03/CodeREDPros2024.git
cd CodeREDPros2024

• Install the dependencies

pip install -r requirements.txt # May need to install the C++ build tools

• Create a .env file

OPEN_API= # Your OpenAI API key

• To run the project

python app.py # The app should be running on port 5000