Update README.md

README.md

@@ -11,7 +11,6 @@ pinned: false
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
-
 # Smart Loan Recovery System
 
 A machine learning-powered system for predicting loan recovery probability with a Streamlit web interface.
@@ -20,6 +19,19 @@ A machine learning-powered system for predicting loan recovery probability with
 
 The Smart Loan Recovery System helps financial institutions predict the likelihood of recovering loans by analyzing various customer and loan attributes. The system uses machine learning algorithms to provide insights that can help prioritize collection efforts and optimize recovery strategies.
 
+## System Workflow
+
+![System Workflow](screenshots/system_workflow.png)
+
+The diagram above illustrates the complete workflow of the Smart Loan Recovery System:
+
+1. **Data Input**: Users can enter individual loan details or upload CSV files for batch processing
+2. **Data Processing**: The system preprocesses the data, performs feature engineering and normalization
+3. **Random Forest Model**: The prediction engine analyzes the data using the Random Forest algorithm
+4. **Results Visualization**: Interactive charts display recovery probability and risk assessment
+
+The bottom section shows the key system components and their relationships, providing a clear overview of the system architecture.
+
 ## Features
 
 - **Predictive Analytics**: Uses machine learning to predict loan recovery probability
@@ -63,20 +75,29 @@ streamlit run app.py
 
 ```
 smart-loan-recovery-system/
-├── app.py                  # Main Streamlit application
-├── data/                   # Data directory
-│   └── loan_data.csv       # Sample loan data
-├── models/                 # Trained models
-├── src/                    # Source code
-│   ├── models/             # ML model implementations
-│   │   └── loan_recovery_model.py
-│   ├── preprocessing/      # Data preprocessing
-│   │   └── data_processor.py
-│   ├── utils/              # Utility functions
-│   │   └── data_generator.py
-│   └── train_model.py      # Script to train models
-├── README.md               # Project documentation
-└── requirements.txt        # Project dependencies
+├── app.py                                      # Main Streamlit application
+├── data/                                       # Data directory
+│   └── loan_data.csv                           # Sample loan data
+├── models/                                     # Trained models
+│   ├── loan_recovery_random_forest.pkl         # Trained Random Forest model
+│   └── loan_recovery_random_forest_processor.pkl # Model preprocessor
+├── screenshots/                                # Screenshots and diagrams
+│   ├── system_workflow.svg                     # System workflow diagram (SVG)
+│   ├── system_workflow.png                     # System workflow diagram (PNG)
+│   ├── system_workflow.html                    # System workflow diagram (HTML)
+│   ├── loan_input_form.png                     # UI screenshot - input form
+│   └── prediction_results.png                  # UI screenshot - results
+├── src/                                        # Source code
+│   ├── models/                                 # ML model implementations
+│   │   └── loan_recovery_model.py              # Loan recovery model class
+│   ├── preprocessing/                          # Data preprocessing
+│   │   └── data_processor.py                   # Data processor class
+│   ├── utils/                                  # Utility functions
+│   │   └── data_generator.py                   # Synthetic data generator
+│   └── train_model.py                          # Script to train models
+├── Smart_Loan_Recovery_System_Documentation.docx # Comprehensive project documentation
+├── README.md                                   # Project overview
+└── requirements.txt                            # Project dependencies
 ```
 
 ## Machine Learning Model
@@ -91,11 +112,11 @@ The Streamlit web interface focuses solely on loan recovery prediction, providin
 
 ### Sample Interface
 
-![Loan Input Form](screenshots/loan_input_form.png)
+![Loan Input Form](image.png)
 
 ### Sample Results
 
-![Prediction Results](screenshots/prediction_results.png)
+![Prediction Results](image-1.png)
 
 The interface allows users to:
 - Enter individual loan details with comprehensive input fields