Artificial Intelligence / Intelligent Systems
Multimodal Sensitive Information Risk Detection App
An intelligent systems application that detects sensitive information and potential privacy risks from text and image inputs using multimodal AI concepts.
Project Details
This project was developed as part of the Intelligent Systems module to demonstrate how artificial intelligence can be used to identify sensitive information and privacy risks in digital content. The application supports multimodal input, allowing users to analyse both text and images for potentially sensitive data.
The system uses Python and Streamlit to provide an interactive web interface where users can enter text or upload images. Text-based detection is used to identify sensitive patterns such as email addresses, phone numbers, passwords, API keys, card numbers, and other personal information. Image-based input can be processed using OCR to extract visible text, which is then analysed for possible sensitive information.
The project demonstrates key intelligent systems concepts including multimodal processing, data extraction, risk detection, rule-based pattern recognition, and user-focused result presentation. It helps users understand how sensitive data can appear in different formats and how automated systems can support safer data handling.