Planify

A smart and easy-to-use task manager powered by AI.

• Initial Scheduling: Manually schedule your established activities or import an existing schedule with specific start and end times for each day of the week.
• Task Addition: Add additional tasks and events, prioritizing their importance and duration.
• Customization: Update and set your preferences for night work and extra breaks to customize your schedule.
• Plan Overview: View your created schedule and access a summarized JSON format of your planned activities and tasks.

Prerequisites

• Python 3.6 or higher
• pip
• OpenAI configuration and API key

For more information on how to configure OpenAI, please refer to the documentation.

Configuration

1. Clone the repository:

   git clone git@github.com:LysanderT/planify.git

   cd planify

2. Create a virtual environment (optional):

   python -m venv planify-env

   Then activate the virtual environment:

   For Windows:

   planify-env\Scripts\activate

   For MacOS and Linux:

   source planify-env/bin/activate

3. Install the dependencies:

   pip install streamlit
   pip install streamlit_calendar

4. Choose the desired OpenAI model in Client.py at lines 82 and 95 by replacing the model name with the desired model name.

5. Run the application:

   streamlit run Home.py

6. Open your browser and navigate to the following URL to enjoy Planify:

   http://localhost:8501/

Usage

After running the application, you will be greeted with the following screen:

From here, you can navigate to the following tabs to create your schedule:

• Initial: Manually schedule your established activities or import an existing schedule with specific start and end times for each day of the week.

• Addons: Add additional tasks and events, prioritizing their importance and duration.

• Prefs: Update and set your preferences for night work and extra breaks to customize your schedule.

• Plan: Generate and view your created schedule and access a summarized JSON format of your planned activities and tasks.

Declaration

This is a demo project for the Berkeley AI Hackathon and is not intended for commercial use. See our devpost here for more information.