with ML/DL model Is possible predict numbers of items required?
The first thing to do is to reorganize the data in a way which suits the problem that you're trying to solve: since the goal is to predict the number of each type of vehicle by month, your data should contain a column for this number.
Here you need to count the number of rows for each month and each type of vehicle so that you obtain something like this:
v_type   district    month number
Advanced District 1  jan   1
General  District 1  jan   2
Advanced District 2  jan   0
General  District 2  jan   3
Advanced District 1  feb   2
General  District 1  feb   3
...

After that you will probably need to represent the month (and year) in a way that a regression algorithm can use, typically an integer starting at month 1.