Estimated Time of Arrival (ETA) Prediction

Creating an ML model to predict the estimated time of arrival at the dropoff point for a single journey on a ride-hailing app.

Project Summary 📄

Project Name	Deployed App	Presentation
Yassir ETA prediction	Gradio App on Huggingface	Tome Presentation

Project Structure 📂

• dataset/: Contains the dataset used for analysis, and predicted values.
• dev/: Contains jupyter notebook with full end-to-end ML process
• toolkit/: Pipeline with ML model
• .gitignore: Holds files to be ignored by Git.
• app.py: Working Gradio app for prediction
• LICENSE: Project license.
• README.md: Project overview, links, highlights, and information.
• requirements.txt: Required libraries & packages

Getting Started🏁

You need to have Python 3 on your system. Then you can clone this repo and being at the repo's root :: repository_name> ...

1. Clone this repository: git clone https://github.com/Azie88/Estimated-Time-of-Arrival-ETA-Prediction.git
2. On your IDE, create A Virtual Environment and Install the required packages for the project:

• Windows:

    python -m venv venv; 
    venv\Scripts\activate; 
    python -m pip install -q --upgrade pip; 
    python -m pip install -qr requirements.txt  
  

• Linux & MacOs:

    python3 -m venv venv; 
    source venv/bin/activate; 
    python -m pip install -q --upgrade pip; 
    python -m pip install -qr requirements.txt  
  

The two long command-lines have the same structure. They pipe multiple commands using the symbol ; but you can manually execute them one after the other.

• Create the Python's virtual environment that isolates the required libraries of the project to avoid conflicts;
• Activate the Python's virtual environment so that the Python kernel & libraries will be those of the isolated environment;
• Upgrade Pip, the installed libraries/packages manager to have the up-to-date version that will work correctly;
• Install the required libraries/packages listed in the requirements.txt file so that they can be imported into the python script and notebook without any issue.

NB: For MacOs users, please install Xcode if you have an issue.

• Run the Gradio app (being at the repository root):

  Gradio:

  For development

  gradio app.py
  

  For normal deployment/execution

  python app.py  
  

  • Go to your browser at the following address :

    http://localhost:7860

3. Explore the Jupyter notebook for detailed steps and code execution.
4. Check out the live running app on Huggingface Spaces.
5. Check out the AI generated project Presentation made with the tone app.

Gradio App Screenshots

Author✍️

Andrew Obando

Connect with me on LinkedIn: Andrew Obando

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