This repository contains the implementation and research work conducted as part of two college subjects: Seminar and Project-Based Learning (PBL).
In the Seminar subject, we conducted research focused on industrial safety monitoring through the integration of artificial intelligence (AI) with a mobile application. The seminar folder contains:
- Codes: The codes used during the research phase.
- README.md: This file, providing an overview of the repository contents.
- Reports: Research reports detailing our findings, methods, and results.
In the PBL subject, we implemented the system proposed during the Seminar phase. The PBL folder contains:
- Mobile Application: Implementation of the mobile application for safety surveillance.
- AI Code: Implementation of the AI component using the YOLOv8 model and other algorithms for real-time object detection and monitoring.
For additional resources, including Demo and supplementary materials, please refer to the Google Drive folder linked here: Google Drive Link
This repository presents a comprehensive system integrating AI, mobile applications, and Firebase for industrial safety monitoring. It reflects our collaborative efforts during the Seminar and PBL subjects, with a clear roadmap for future enhancements and advancements.