Challenge

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Build an AI-powered Traffic Safety Guide

Each year, more than 1.25 million people die as a result of traffic accidents, and between 20 to 50 million more suffer from non-fatal traffic related injuries. Predicting, preventing, and montitoring traffic accidents could save millions of lives.
6M
People Impacted
$ 344B
Potential Funding
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the problem
Nature and Context

Traffic accidents and the lives they effect cause substantial physical and economic losses to affected individuals, their families and nations as a whole. According to WHO, the cost of traffic accidents sums up to 3% of GDP in many countries. Using predictive analytics models and algorithms, applied over static and possibly real-time traffic related data, we could detect, visualize and even predict dangerous road sections and conditions.

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