We bridge the gap between the public and the government. Thanks to our quick image processing, one can help themselves and the government make roads safer in just a few seconds!
Our model helps us rule out fake images and uses advanced image processing to detect the severity of the damaged roads. InceptionV3, ResNet50, SqueezeNet, TinyYOLO, FullYOLO are some of the algorithms we compared to achieve tradeoff.
We used the Flask framework as it has access to a multitude of online resources for documentation purposes. It is one of the most used Python web frameworks, which is why there are available a lot of tutorials or libraries for it.
We aim to provide a beautiful, elegant, user-friendly design along with exceptional functionality. We are always open to feedback, so feel free to write to us! Scroll all the way down to send us a message.
This is one of the questions that keeps us going and striving for greatness, not perfection. The greatest impact is the lives we help save, and the better road conditions we hope for this beautiful country.
Shubhyan
Daanish
Arko
Mohnish
Soumya
Hariom