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graylan01/rainbow_delivery_scanner

By graylan01

Updated about 2 years ago

Quantum Delivery Logistics System for Uber and Door Dash drivers

Image
Integration & delivery
Machine learning & AI
0

289

graylan01/rainbow_delivery_scanner repository overview

Rainbow Delivery Scanner

Rainbow Delivery Scanner is a sophisticated tool designed to optimize delivery logistics using advanced data intelligence and real-time analytics.

Demo Screenshot

How to Build and Run

Build Docker Image

If you haven't built the Docker image yet, you can pull it from Docker Hub:

docker pull graylan01/rainbow_delivery_scanner
Run Docker Container

To run the Docker container, use the following command:

docker run --rm -it \
    --net=host \
    --env="DISPLAY" \
    --volume="$HOME/.Xauthority:/root/.Xauthority:rw" \
    --volume="$HOME/humoid_data:/data" \
    --volume="$HOME/humoid_data/nltk_data:/root/nltk_data" \
    graylan01/rainbow_delivery_scanner

Make sure to replace $HOME/humoid_data with your actual data directory if different.

Features

  • Real-Time Traffic Reports: Utilizes nanobots for live traffic data to optimize delivery routes.
  • Safety and Efficiency: Prioritizes safe routes and efficient delivery locations.
  • Profitability Metrics: Recommends high-demand delivery points to maximize earnings.
  • Customer Satisfaction: Enhances delivery experience by analyzing popular delivery destinations.

Dependencies

  • Python 3
  • Docker
  • Tkinter
  • OpenAI API Key

Building the Application

To build the Rainbow Delivery Scanner application locally, follow these steps:

  1. Clone the Repository:

    git clone https://gitlab.com/graylan01/rainbow_delivery_scanner
    cd rainbow_delivery_scanner
    
  2. Build the Docker Image:

    docker build -t rainbow_delivery_scanner .
    

Tag summary

Content type

Image

Digest

sha256:383dd19b1

Size

339.6 MB

Last updated

about 2 years ago

docker pull graylan01/rainbow_delivery_scanner