Update README.md

README.md

@@ -79,10 +79,17 @@ This model is meant to generate "Intent" for a given customer query on bank's ne
 
 How to use :
 
-1. Type a query such as "Tell me my last 10 transactions" or "I am senior citizen. What is FD rates" or "I want to send money to my brother" or "I want Fixed Deposit rate for 2 Crore INR" etc.
-2. This engine will understand the "intent" behind the query and return the value of LABEL_0 to LABEL_50.
-3. The LABEL having maximum value (which will be at the top in the result) will be the identified "intent"
-4. Use above mapping table and convert LABEL to Code. So, for example, LABEL_34 means "Senior Citizen Fixed Deposit Rate" and so on.
+1. Type a query such as
+   a) "Tell me my last 10 transactions" or
+   b) "I am senior citizen. What is FD rates" or
+   c) "I want to send money to my brother" or
+   d) "I want Fixed Deposit rate for 2 Crore INR"
+   e) "What is the outstanding EMI or my loan"
+   f) "How many active loans do I have ?"
+   e) "I want to add a new beneficiary"
+3. This engine will understand the "intent" behind the query and return the value of LABEL_0 to LABEL_50.
+4. The LABEL having maximum value (which will be at the top in the result) will be the identified "intent"
+5. Use above mapping table and convert LABEL to Code. So, for example, LABEL_34 means "Senior Citizen Fixed Deposit Rate" and so on.
 
 
 ## Training and evaluation data