Update README.md

README.md

@@ -16,6 +16,7 @@ Introductory video: 快拍视频！！！！
 ## Project Description:
 This project incorporated all the skills we learned in Data Engineering to create a application offers services for analyzing movie popularity and genre trends over time. Users can input a start and end year to explore how different movie genres have evolved in popularity. Additionally, users can enter a specific year to view the most and least popular movies based on TMDB's popularity scores. The site also features an AI chat assistant for interactive user engagement using X.AI API. The following technologies are used for this project:
 
+![SQL](https://img.shields.io/badge/Database-SQL-blue?logo=postgresql&logoColor=white)
 - ![HTML5](https://img.shields.io/badge/html5-%23E34F26.svg?style=for-the-badge&logo=html5&logoColor=white) ![CSS](https://img.shields.io/badge/css3-%231572B6.svg?style=for-the-badge&logo=css3&logoColor=white) ![JavaScript](https://img.shields.io/badge/javascript-%23323330.svg?style=for-the-badge&logo=javascript&logoColor=%23F7DF1E)
 - ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54) ![Flask](https://img.shields.io/badge/flask-%23000.svg?style=for-the-badge&logo=flask&logoColor=white)
 - ![Azure](https://img.shields.io/badge/azure-%230072C6.svg?style=for-the-badge&logo=microsoftazure&logoColor=white) ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white) ![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge&logo=githubactions&logoColor=white)
@@ -170,7 +171,7 @@ In this project, Flask serves as a microservice framework to build and deploy th
 
 ## Data Engineering
 
-In our project, we use Flask to create API endpoints and psycopg2 to connect to and query the PostgreSQL database, with PostgreSQL serving as the backend for data storage and analysis. Additionally, we use the ast module to parse strings into Python expressions. These technologies collectively support extracting and analyzing movie data from the database and providing data services through APIs.
+ In our project, we use Flask to create API endpoints and psycopg2 to connect to and query the PostgreSQL database using SQL, with PostgreSQL serving as the backend for data storage and analysis. Additionally, we use the ast module to parse strings into Python expressions. These technologies collectively support extracting and analyzing movie data from the database and providing data services through APIs.
 
 
 ## AI Tools