Machine Learning model to create an optimized ambulance deployment strategy in Nairobi.
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Updated
Jan 13, 2021 - Jupyter Notebook
Machine Learning model to create an optimized ambulance deployment strategy in Nairobi.
this android application was a part of my mobile computing course at IIITD
🛣️ Identify roadway errors and improvement areas from images.
RoadVisor is an augmented reality navigation application aimed at enhancing the driving experience. It combines real-time traffic information and advanced computer vision techniques to improve safety and efficiency on the road. The project is brought to life by a passionate team of computer engineering students.
Classification of traffic accident severity in Quebec
Source Code for Random Forest Accident Severity Prediction Modelling
This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system
Working files & insights outlining the: Why, What & How, for TootAfrica (a subsidary of TootGlobal)
A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.
Road collision data for the United States
World Data League Stage 3 submission. Predicting Road Safety in Lisbon with YOLOv5 and visualizing results in deck-gl.
Accident Detection System using GSM, GPS and Accelerometer modules.
Road collision data for France
Road collision data for the UK
A dataset for traffic accident analysis in the US
Self driving car project developed as a part of the course Software Engineering at NIIT University.
This project focuses on deriving insights from Irish road safety data from 2005 to 2012
prototype system that helps to recognize hand gesture to normal people in order to communicate more effectively with the specially disabled people
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