Update README.md

README.md

@@ -17,13 +17,34 @@ tags:
 - BERT
 ---
 
-# Banking customer service - query intent classifier
+# Banking Customer Service Intent Classifier
 
-A BERT based multi-class classification model that classifies incoming customer queries into one of the following categories:
+This model is designed to classify customer service queries into different intents, based on the type of inquiry made by the customer. It was fine-tuned on a **synthetic** dataset of realistic banking customer service interactions and can classify the following intents:
 
-1. transaction_query
-2. password_reset
-3. loan_inquiry
-4. fraud_report
-5. credi_card_application
-6. balance_inquiry
+- `transaction_query`
+- `password_reset`
+- `loan_inquiry`
+- `fraud_report`
+- `credit_card_application`
+- `balance_inquiry`
+
+## Model Overview
+
+The model is a fine-tuned BERT-based architecture that classifies text inputs into one of the six specified intents. It leverages the **transformers** library by Hugging Face for tokenization and model loading.
+
+## Intended Use
+
+This model is suitable for deployment in applications that require automatic classification of customer service queries, such as:
+
+- Chatbots
+- Virtual assistants
+- Automatic re-routing incoming emails,calls, and texts
+
+It can be used to classify various types of banking queries, such as requests for account balance, loan inquiries, or fraud reports.
+
+## Installation
+
+To install the necessary dependencies, use the following:
+
+```bash
+pip install transformers torch