Occupational Hazard Detection

This project aims to detect occupational hazards with common household objects. Example scenarios:

• a glass close to a computer: spill hazard
• a knife inside the living room: dangerous object
• a knife inside the kitchen: no errors

This is our ITU graduation project for the year 2023.

The client app is built Ionic & Capacitor. It can be run as a website or application. Object detection logic is done in the back-end by analyzing pictures from the client app. Source code contains client-app & firebase-functions to deploy.

Tech Stack

• Ionic, Angular, TypeScript, Capacitor for mobile App
• Node.js, Firebase, Python for back-end cloud functions
• Python, YOLOV8 for the object detection engine

## Running Locally

1. Install Node.js (LTS version recommended)
2. Clone the project.
3. Run npm install && npm run start to launch localhost
4. Create a firebase project (blaze program is required)
5. Run firebase deploy to deploy the functions to your firebase project
6. Connect your back-end by using correct google-services.json file