DriveGuard

Inspiration

Every day several people lose their lives due to road accidents. Imagine a situation where there is no one nearby to help the needy ones. To overcome this we can use mobile applications that integrated with this API to detect blood and confirm the severity of the accident that can be later used as a report generator.

What it does

We can use this API to detect the severity of the accident by checking if the driver is bleeding
We can use the API in CCTV cameras to identify if someone is bleeding
Can be used for other face detection system

What we learned

I learned to deploy machine learning models and test the API on the postman, and also various python libraries

Use case of the API

We can use this API to detect the severity of the accident by checking if the driver is bleeding
We can use the API in CCTV cameras to identify if someone is bleeding
Can be used for other face detection system

Tech stack used

Python Machine learning model with Tensorflow Keras framework
Python Flask framework for deployment
Heroku for hosting the API
Postman to test the POST request for the API

How does the API work

The API accepts only POST request as a JSON format: { "url": "Input the image URL here" } The response given by the API is also in JSON format with a boolean value for the key "Blood detected": { "Blood detected": 0 if No blood is detected, 1 if Blood is detected }