Travel.Interface.-.Google.Chrome.2024-10-03.20-52-27.mp4
This project is a dockerized web application that displays routes from one point to another based on metro, bus, walking and multimodial(mix of all types) for a city using FastAPI, Leaflet.js, Python, PostgreSQL, Docker, Machine learning algorithms, Javascript, CSS and HTML. Users can input start and end points for their journey to find an efficient and shortest route. Factors like less walking and faster journey routes can be set and the algorithm will include those and map the route dynamically.
- Finds the fastest travellable route on the basis of metro, bus, walking or a mix of all.
- Routes take into account the weather possibilites, traffic conditions and selects travel means for the fastest ETA.
Project Structure
project_root/
│
├── Dataset/
│ ├── Metro_zipfile
│ ├── DMTC_buses_zipfile
│
├── app/
│ ├── main.py
│
├──Static/
│ ├──styles.css
│
├──Templates/
│ ├──overlay.html
│
├── Dockerfile
├── compose.yml
├── requirements.txt
└── ETL_combi.pyTo run the project follow the below instructions
- Clone the repo : https://github.com/som-pat/Metro.git
- Start virtual environment: .venv\Scripts\Activate
- Download the datasets from the links below
- Populate the database : docker-compose start pgadmin && python ETL_combi.py
- Start the whole app : docker-compose up
- Application will be running on localhost:8000