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About The Project

demo

AutoPath is a web and VR-based application that visualizes pathfinding algorithms in real time. Users have the ability to choose from a randomly generated maze, maze presets, or simply build what they want. AutoPath allows users to choose from algorithms such as Greedy Best-First Search, Dijkstra’s Algorithm, A* Search, Breadth-First Search, and Depth-First Search and visualize how the algorithm finds the path from a selected start point to a selected end point. Users are also allowed to create a custom maze which can be saved in their account for future use.

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Built With

Web

HTML CSS JavaScript React Node.js Express AWS MySQL


web-block-diagram

VR

Unity Oculus


vr-block-diagram

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Screenshots

demovr1 demovr2 demovr3

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Getting Started

Web

Developer Installation

Get a local copy up and running follow these simple example steps.

  1. Install npm
    npm install npm@latest -g
  2. Clone the repo
    git clone https://github.com/comp195/senior-project-spring-2022-autopath.git
  3. Install NPM packages
    npm install

Live Website

Check out the website here: autopath

VR

An executable file for the VR: autopath

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Roadmap

  • Web - Login & Registration
  • Web - Create a 2D grid
  • Web - Add ability for users to add walls
  • Web - Develop random maze generation using recursive division
  • Web - Develop random maze generation using vertical division
  • Web - Develop random maze generation using horizontal division
  • Web - Develop random maze generation using random wall positions
  • Web - Enable pathfinding visualization for Djikstra
  • Web - Enable pathfinding visualization for A*
  • Web - Enable pathfinding visualization for BFS
  • Web - Enable pathfinding visualization for DFS
  • Web - Deploy website to AWS
  • Web - Integrate Node.js in AWS
  • VR - Design the virtual maze world
  • VR - Enable the ability for the user to roam around and interact with the world
  • VR - Random maze generation
  • VR - Enable pathfinding visualization for A*

See the open issues for a full list of proposed features (and known issues).

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

LinkedIn LinkedIn LinkedIn

Bikram Chatterjee - b_chatterjee@u.pacific.edu

Hung Le - h_le21@u.pacific.edu

Lait Vaidya - l_vaidya@u.pacific.edu

Project Link: https://github.com/comp195/senior-project-spring-2022-autopath/

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Special Notes

  • An Oculus Quest 2 will be used to test and use the VR application

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Acknowledgments

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