Inspiration
Students often struggle not with doing work, but deciding what to do first when multiple deadlines overlap. I wanted to build a system that thinks like a student and prioritizes tasks in a efficient way.
What it does
Here User input deadline, time required, difficulty and importance/valuable the work is. Then Ai model analyzes these factors and returns a ranked task list of the most important task and a short reasoning summary.
How we built it
This project was built using Streamlit for the frontend, OpenAI API for AI-based prioritization, and a hidden scoring system as a fallback. Furthermore, Custom CSS was used to create a clean, minimal interface with a focus on usability and clarity.
Challenges we ran into
The project was built using Streamlit for the frontend, OpenAI API for AI-based prioritization, and a hidden scoring system as a fallback. Custom CSS was used to create a clean, minimal interface with a focus on usability and clarity.
Accomplishments that we're proud of
Building project which will be helpful form many students for prioritize the tasks avoiding dilemma to choose most important ones.
What we learned
I learned good prompting for taking help from AI while doing the project. There were many frustration time, when stuck in debugging. To fix one thing another thing misses. There were good pressure handling and stress handling time.
What's next for WorkLoad Prioritizer
Future enhancements include adding task editing and deletion, persistent data storage, and more personalized AI recommendations based on user behavior.
Built With
- openai-api
- prioritizer-calculator
- python
Log in or sign up for Devpost to join the conversation.