Description
As a data labeling and classification, you will be required to classify data using NLP techniques and developed automation techniques.
This will allow A.D Knight system to detect, classify, and predict road users and prevent accidents based on a novel IoT sensing system.
Qualifications
Computer science student/experience as a developer / Fullstack student
Basic knowledge of Python.
Pedestrian and other vulnerable road users’ safety is a global concern due to the fact that approximately 22 percent of all road traffic deaths globally are pedestrians. Significant growth in smartphone use by pedestrians and drivers is one of the major causes of the recent increase in pedestrian fatalities. Thus, we shall fortify our collective efforts to protect pedestrians and vulnerable road users.
Our novel solutions allow saving pedestrians' and vulnerable road users' lives based on personal devices detection such as Bluetooth, Wi-Fi, and Cellular.
A.D Knight was founded by veterans of the Israeli Defense Industry, with years of experience in developing safe multi-disciplinary autonomous systems, alongside entrepreneurship spirit and innovative approach.
A.D Knight is an early-stage start-up with an agile approach allowing interns a unique experience in participating in forming the company's path in the technical and business sides.
