Update README.md

README.md

@@ -13,19 +13,29 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-complaints-product
 
-This model was trained from scratch on the consumer_complaints dataset.
+This model was trained from the (CFBP)[https://www.consumerfinance.gov/data-research/consumer-complaints/] dataset, also made available on the HuggingFace Datasets library. This model predicts the type of financial complaint based on the text provided
 
 ## Model description
 
-More information needed
+A DistilBert Text Classification Model, with 18 possible classes to determine the nature of a financial customer complaint.
 
 ## Intended uses & limitations
 
-More information needed
+This model is used as part of.a demonstration for E2E Machine Learning Projects focused on Contact Centre Automation:  
+
+- **Infrastructure:** Terraform
+- **MLOps:** HuggingFace (Datasets, Hub, Transformers) 
+- **Cloud:** AWS 
+     - Model Hosting: Lambda 
+     - DB Backend: DynamoDB
+     - Orchestration: Step-Functions
+     - UI Hosting: EC2
+     - Routing: Gateway 
+- **UI:** Budibase
 
 ## Training and evaluation data
 
-More information needed
+consumer_complaints dataset
 
 ## Training procedure