skillenza-com / MishMash-India-2020

MishMash hackathon is India’s largest online diversity hackathon. The focus will be to give you, regardless of your background, gender, sexual orientation, ethnicity, age, skill sets and viewpoints, an opportunity to showcase your talent. The Hackathon is Live from 6:00 PM, 23rd March to 11:55 PM, 1st April, 2020
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Meraki - Deep Tech/Machine Learning - Route Optimization #130

Open kshitija-surange opened 4 years ago

kshitija-surange commented 4 years ago

Theme 1: Deep Tech/Machine Learning

Problem Statement 2: Route Optimization and Visualization for Sales Vehicles

ℹ️ Project information

Team Name: Meraki

Team Members: Utsav Mishra - @festivitymishra | Kshitija Surange - @kshitija-surange

Demo Link: Link To Demo Videos

Repository Link(s): Link To Repository

Presentation Link: Link To Presentation

DataSet Used: Self-generated dataset, the attributes of the same are mentioned in the repository link.

Azure Services we wish to use:

:fire: Your Pitch

Fast Route Planning & Route Optimisation with the help of travelling salesman problem (TSP) algorithm - Given a set of deliveries to be made in particular time duration, the TSP Algorithm computes the fastest and shortest route for the given fleet of vehicles. If a fleet of vehicles is to deliver consignments till the last mile, the TSP algorithm assigns route to each vehicle so that the total transportation costs are minimized and can also consider business-side logics such as the capacity of each vehicle, time-windows, delivery skills and more. For the shortest and fastest route calculation, the TSP solver relies on OpenStreetMap data and does matrix calculations by triggering Open-Source Routing Machine (OSRM), thus making the route locality-aware.

:white_check_mark: Checklist