Project1: Signature Forgery Detection Using Graph Neural Networks The project will utilize graph neural network technology to screen, analyze and identify possible counterfeit documents, to reduce the potential possibility of property loss or social damage.
Project2: “SafeGuard Pro” —— A smart hazard detection and alarm system:
A dependable system for detecting hazardous behaviors and unsafe conditions in a real- time manner is necessary to prevent accidents and ensure compliance with safety regulations.
1.Behavioral Monitoring Using API: Cameras installed in the workshop can capture real-time footage of workers and equipment, CCTV cameras with IP can help to locate the position of different production lines. This project can use OpenCV to process the video streams information.
2.Enviornment Monitoring Using API: Use sensors connected with a cloud platform to monitor environmental conditions such as temperature or humidity. This function can ensure track dangerous conditions like gas leaks, high temperatures or excessive noise levels.
3.Real-Time Alerts Using APIs Once a hazardous condition is detected, an SMS alert is sent to responsible personnel.
- Generating an Incident Report Using Google Docs API Save all detected hazards into a database for later audits and automatically generate an incident report for safety documentation.