Routeing Webapp Using AI Search

Authors

• Ibraheem Alyan - 1201180
• Noor Al-Deen Tirhi - 1190081

Deployment

view the deployed version here 👉 p1.encs3340.unv.ibraheemalayan.dev

ENCS3340.mov

Features

• Selectable source
• Selectable destination/s
• Multiple destinations
• 2 heuristics [aerial, walking]
• 3 cost functions [aerial, walking, driving]
• 4 different algorithims [UCS, BFS, A*, Greedy] with different combinations of cost, heuristic
• Changable limit of edge length ( adjust graph density )
• Real world data for walking and driving distances scraped fromn google maps APIs
• Real coordinates for city centers, aerial distances calculated using the earth radius and coordinates
• Real map in the UI (navigatable) displaying data in real positions (nodes and edges)
• Choose source and destination on map
• Beautiful UI Design (with some animations)
• 6 different A* combinations
• 2 different Greedy Combinations
• 3 different UCS combinations
• 1 BFS comination

Data Source

Google maps distance matrix api, see the scrap/scraper.py that was used to get the data

Local Installation

• Install Python >= 3.9 (must support typing syntax)

• Install python pip

• Add Python, scripts to PATH

  • Windows

     {Python_dir}\Python39\Scripts\
     {Python_dir}\Python39\
    

  • Unix ( mac / linux )

    No need to add anything
    

• Python Venv

  • Windows

    • create an empty directory (we'll call it route_finder_home) and create a virtual enviroment in it

    mkdir route_finder_home
    cd route_finder_home
    virtualenv route_finder_venv
    route_finder_venv\bin\activate

  • Unix ( mac / linux )

    • create an empty directory (we'll call it route_finder_home) and create a virtual enviroment in it

    mkdir route_finder_home
    cd route_finder_home
    python3 -m venv route_finder_venv
    source route_finder_venv/bin/activate
    

• Clone Repository

  git clone https://github.com/ibraheemalayan/ENCS3340-AI-PathFinder-WebApp    

  cd ENCS3340-AI-PathFinder-WebApp    

• Install required modules

  python3 -m pip install -r requirements.txt

• Running the server

  flask run    

  or if not in the path

  python3 -m flask run    

• open the website localhost:9000