GroupNo1-Vehicular-Traffic-Abatement

Machine Learning and Data Mining based project to make a predictive model for real time vehicular traffic

Introduction

The project is comprised of the following parts and each part is explained in its own folder's README

• Image Processing for feature extraction
• REST API to bridge ML model and client
• Screenshot taking script
• Machine Learning module
• Client application

Documentation

A detailed report explains the entire project from development to testing the project. Evaluation reports of algorithms can be found in it as well.