Inspiration
The inspiration behind Planify was the need for an intuitive and efficient task management tool that leverages AI to help users manage their time better. We wanted to create a solution that not only schedules tasks but also customizes and prioritizes them based on individual preferences and needs.
What it does
Planify is a comprehensive scheduling and planning tool designed to help users manage their weekly activities, desired additional activities, and prioritize tasks efficiently. Key features include:
- Initial Scheduling: Manually schedule your established activities or import an existing schedule.
- Task Addition: Add and prioritize additional tasks and events.
- Customization: Update preferences for night work and extra breaks.
- Plan Overview: View a summarized JSON format of your planned activities and tasks.
How we built it
We built Planify using Python, Streamlit, and the OpenAI API. The development process included:
- Setting up a virtual environment for dependency management.
- Implementing the core functionality using Streamlit for the user interface.
- Integrating the OpenAI API to enhance task prioritization and scheduling.
- Collaborating on GitHub for version control and project management.
Challenges we ran into
Some of the challenges we faced included:
- Integrating the OpenAI API effectively to provide intelligent scheduling.
- Ensuring the user interface is intuitive and easy to use.
- Managing dependencies and configurations across different development environments.
Accomplishments that we're proud of
We are proud of several key accomplishments:
- Successfully integrating AI to provide personalized task management.
- Creating a user-friendly interface that simplifies task scheduling.
- Developing a robust system that allows for easy customization and real-time updates.
What we learned
Throughout the development of Planify, we learned:
- The importance of clear and efficient communication within the development team.
- Best practices for integrating third-party APIs.
- How to create a seamless user experience through iterative design and testing.
What's next for Planify
Future plans for Planify include:
- Adding more AI-driven features to enhance task prioritization and scheduling.
- Expanding customization options to cater to a broader range of user preferences.
- Improving the user interface based on user feedback and testing.
- Exploring mobile application development to make Planify accessible on the go.
Built With
- openai
- python
- streamlit
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