not able to identify dataframe from bank statements pdf

tabula and camelot both are not able to extract tables from bank statements pdf like the one sample attached
1) the area for the table is not fixed i.e. co-ordinates are changed for every months statement
2) lattice and stream mode both not working and gives always empty dataframe with column names
C:\Users\vikas\Desktop\GreenariaSociety\Tools>python sample.py

Empty DataFrame
Columns: [DATE, MODE, PARTICULARS, DEPOSITS, WITHDRAWALS, BALANCE]
Index: []
3) also in case some columns are having multiple lines in the values for e.g. PARTICULARS/DESCRIPTIONS from bank statements the table cell data is not correctly extracted and it is spread across other cells/rows

sample code used as below:-
df = tabula.read_pdf(pdf_path, pages="1",stream=True,multiple_tables=True)[0] #//tried lattice, pages='all', etc.
print(type(df))
print(df)

[sample_bank_statement.pdf](https://github.com/camelot-dev/camelot/files/10887805/sample_bank_statement.pdf)

Start by reproducing the report with sample_bank_statement.pdf and the shown tabula.read_pdf call, then compare stream and lattice results. Investigate why the dataframe is empty and how multiline PARTICULARS or DESCRIPTIONS values are split across rows and cells. Done means the behavior and expected extraction are covered for the supplied bank-statement sample.

Written by the indexing model from the issue text.