This project is a web-based scheduler application enhanced with AI capabilities, built using Flask and integrated with OpenAI's API. It's designed to help users estimate task durations more accurately with AI-driven suggestions.
- Task creation and management.
- AI-powered task duration estimation.
- User-friendly very simple interface.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
What things you need to install the software and how to install them:
- Python 3
- Pip
- Virtualenv (recommended)
A step-by-step series of examples that tell you how to get a development environment running:
-
Clone the repository
-
Navigate to the project directory
-
Create a virtual environment (optional but recommended)
-
Activate the virtual environment
- On Windows:
venv\Scripts\activate
- On Unix or MacOS:
source venv/bin/activate
- Install required packages
To run the application on your local machine:
- Set environment variables
- Duplicate the
.env.example
file and rename it to.env
. - Fill in your OpenAI API key and any other required configurations.
- Start the Flask server
Instructions on how to deploy the project on a live system (e.g., Heroku):
- Refer to the Heroku Deployment Guide.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Arina - Initial work - YourUsername
This project is licensed under the MIT License - see the LICENSE.md file for details.
- Hat tip to anyone whose code was used.
- Inspiration.
- etc.