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@@ -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.