Inspiration

Our inspiration for this project stemmed from time management and organization. We saw that students often struggled with procrastination, and built this app in order to improve our own management and efficiency.

What it does

The program predicts your estimated deadline time needed to be spent working on the task, creates a simple schedule, and predicts the difficulty of the tasks. Then, you can input actual live data for the assignment to help the AI build on its previous predictions.

How we built it

To build this, we started by splitting up the backend development tasks from the frontend tasks. For the backend, we went from broad to specific, starting from creating the userbase and simple task data, and then adding the more specific ai api requests. For the front end, we started by creating drawings and plans on Figma for the website, and implemented it via HTML5. Finally, we utilized Claude Opus 4.6 to assist in integrating the frontend with the backend.

Challenges we ran into

This was a tough project for such a short timeframe. In the backend, we struggled with processing data through the database and through the api key. We spent a lot of time understanding how to actually use external apis in this scenario. For the frontend, it was difficult to integrate with the backend and set up in such a short timeframe. Coordinating features between the two sides was a real struggle, but we worked through it.

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