Your question is Bank Website Data Extraction Pipeline. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Suppose we are logging in a bank's website and we need to extract the information related to a. whether customer has any other accounts other than savings b. Number of transactions, Amnt c. Address. How will you solve this with a. ML b. LLM? Explain the entire thought process, what kind of pipeline you will propose to build, which layers will be there, how will you work on latency & accuracy of the output?
Asked in the case study round stage, with 10 minutes allotted. Reported follow-ups: Which layers will the pipeline have? How will you work on latency and accuracy?