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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Team Katorthotis - Route Optimization and Visualization for Sales Vehicles - Deep Tech/Machine Learning #148

Closed Aastha-M closed 4 years ago

Aastha-M commented 4 years ago

name: 'Hackathon Submission ' about: 'Hackathon Project Submission ' title: Team Katorthotis - Route Optimization and Visualization for Sales Vehicles - Deep Tech/Machine Learning labels: Deep Tech assignees: Aastha-M, Abivishaq

ℹ️ Project information

  1. Theme: Deep Tech or Machine Learning Problem Statement: Route Optimization and Visualization for Sales Vehicles
  1. Project Name: Margdarshak

  2. Short Project Description: Margdarshak is one product solution to route optimization and transport cost reduction improving business perspective of the users.

  3. Team Name: Team Katorthotis

  4. Team Members: Aastha Merja, Abivishaq Balasubram

  5. Demo Link: None

  6. Repository Link(s): https://github.com/Aastha-M/Team-Katorthotis-Route-Optimization-and-Visualization-for-Sales-Vehicles-Deep-Tech-Machine-Learning.git

  7. Presentation Link: The presentation has been added to the github repository for reference

  8. Deep Tech - Problem Statement - 3: Nil

  9. Deep Tech - Problem Statement - 2: The dataset is attached in the repositroy under the map.png filename

  10. Azure Services Used- None as of now

🔥 Your Pitch

Considering three major sales transport application of food delivery, ride-hailing or goods transport our project aims to escalating the potential sales per day at budget. Our project would result in providing an analysed path connecting the maximum number of delivery points with minimum distance distance traversed. Furthermore it would suggest the nearest and most appropriate vehicle based upon the input parameters along with recommendation of the nearest distribution point based on the application requirements. A visual perspective of the result in form a map is also provided for better analysis of the path traversed and traffic analysis with each of the distribution and delivery point clearly marked out. The vehicle details such as vehicle number, model, driver details and so on could also be specified based on user requirement.

🔦 Any other specific thing you want to highlight?

(Optional)

✅ Checklist

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