IRIS is a Streamlit-based web application designed to evaluate institutional resilience and operational risk through structured assessments.
IRIS provides a structured digital platform for evaluating institutional resilience and operational risks.
Traditional risk assessments are often manual, time-consuming, and difficult to track over time. IRIS simplifies this process by offering an automated system that enables organizations to conduct assessments efficiently and monitor their resilience performance.
Key advantages of IRIS include:
• Structured and standardized risk assessment process
• Automated resilience scoring and analysis
• Historical tracking of assessments for trend analysis
• Simple and intuitive web interface
• Lightweight system that can run locally without complex infrastructure
The system helps organizations identify vulnerabilities, improve decision-making, and strengthen operational resilience.
- Company registration system
- Secure user login
- Institutional risk assessment questionnaire
- Automated resilience scoring
- Risk report generation
- Assessment history tracking
- User-specific data isolation
- Python
- Streamlit
- SQLite
- Pandas
App.py – Main application entry point
database.py – Database connection and table creation
pages/
- 0_Register.py – User registration
- 1_login.py – Login system
- 2_New_Assessment.py – Risk assessment form
- 3_Final_Score_Card.py – Risk score calculation
- 4_Assessment_history.py – Previous assessment history
Install dependencies:
pip install streamlit pandas
Run the application:
streamlit run App.py
The Institutional Risk & Resilience Assessment Model helps organizations evaluate their operational resilience by analyzing risk indicators across different domains.
The system provides automated scoring and recommendations to support better institutional risk management. The Institutional Risk & Resilience Assessment Model helps organizations evaluate their operational resilience by analyzing risk indicators across different domains.
The system provides automated scoring and recommendations to support better institutional risk management.