@@ -73,3 +73,22 @@ This layout appears user-friendly and efficient for retrieving passenger detials
There is more details explain about data in Wiki.
# Implementation of the Requests
Here is the overview of the requests:
- Web App with Streamlit: This project was made with the help of streamlit where it facilitate components like inputing messages, slidebar, data analysis, buttons etc.
- requirments.txt: In this file it contains different version for dependencies. The file is available on git repository.
- CSV file: The dataset was take from kaggle where you can find here [Airline Dataset](https://www.kaggle.com/datasets/iamsouravbanerjee/airline-dataset/data?select=Airline+Dataset.csv). It show the original version of dataset but later it was edit according to project use.
- Pandas: With the help of pandas we loaded the csv file and implemented functions to locate the data of the users as well as for data overview and visualizations.
- Scikt-Learn Model:
- Matplotlib: With the help of matplotlib we have implemented graphs and pie charts according to out dataset.
- Chatbot Implementation with RASA:
1. Intent: `domain.yml` & `nlu.yml` file where it gives the intent and according to that it show the responses for the user & nlu gives the examples according to the intent.
