AI for Road Safety in India

Start Date: January 4, 2022 | 4 years ago

Challenge Background

Goal of the Project

Project Goals: 1. Analyzing road accidents data from public databases, newspapers, web pages, etc. 2. Build an AI-Based method based on Machine Learning algorithms & Deep Learning to detect traffic accidents in real-time with the use of traffic cameras with high degrees of precision. 3. Build a Deep Learning-based solution for the driver monitoring system by studying a person’s posture and body movements, intelligent interior vehicle algorithms can draw conclusions about a person’s alertness, attention and focus. 4. A web application to predict the probability of an accident from video and actions of the driver.

Project Timeline

What you'll learn

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.