Build a database to collect the data science related books. You should use PHP, MySQL, HTML, and JavaScript (if desirable) to perform the tasks for the topic

Data Science Related Books Build a database to collect the data science related books. You try to search for books from publishers’ websites, amazon, or even Google using the topic terms assigned to you. You will need to review the title, abstract and table of contents to make sure the books are relevant to the topic term you are assigned. Information in your database about the books should contain title, authors, year of publication, publisher, subject terms, ISBN numbers, and an abstract of each book ---------------------------------------------------------------------------------------------------------------------------------------------------------------- 1. Project report (60 points in total) 1.1 Cover page (2 points): Including the topic, your full name, daily email, and phone number; 1.2 A description of the task, which demonstrates your understanding of the project. Also, please describe in detail how you collect the original data (15 points); 1.3 Database design (23 points). Following issues should be addressed:  (5points) Entity-Relationship Diagram (ERD) of the system, using either in Chen Model or Crow’s Foot Model; (Note. If your system contains only one entity, you can ignore the ERD.)  (3 points) Business rules  (5 points) Data dictionary  (10 points) The MySQL script or statement(s) for creating the table(s). 1.4 Queries (10 points). Design two queries that can be answered by your system. You should write the query in plain English first, then write SQL select statements to retrieve results from the database. 1.5 Brief description of the website of the system (10 points). Following issues should be addressed:  A diagram or site map to illustrate the architecture of your system;  URL and functions of all pages. 2. Website of your database-driven system (40 points) The home page needs to be named as “<your last name>[login to view URL]”. The database should contain at least 20 complete, real records for your topic.