Inspiration

We noticed that many productivity tools generate answers quickly but do not help users decide what to do first. We wanted to create a system that guides learning by adapting to user progress.

How We Built It

We designed the workflow and used AI-assisted development tools to prototype the interface and backend logic. The system consists of a frontend, a lightweight backend, and an AI component that helps structure tasks.

Challenges We Faced

One of the main challenges was connecting the frontend to the backend and integrating the AI component reliably.

We had to ensure:

user input was processed correctly API calls did not interrupt the interface responses were returned consistently

Managing communication between the frontend, backend, and AI service required careful debugging and iteration.

What We Learned

Through building this project, we learned:

Simpler workflows are more effective than complex ones AI is most useful when guiding decisions, not just generating content Clear structure improves usability

We also gained experience in:

integrating an AI API into a web application handling frontend–backend communication designing a basic adaptive workflow Built With HTML CSS JavaScript Python Gemini API JSON GitHub ChatGPT

Built With

• chatgpt
• css
• gemini
• github
• html
• javascript
• json
• python