VibeNote | Devpost

Inspiration

Note-taking apps are everywhere, but none of them truly understand how you're feeling. As someone who journals or captures thoughts often, emotions matter—they give context. We wanted to build a note-taking app that isn’t just functional, but empathetic. That’s how VibeNote was born: a simple app that detects your mood and helps you improve your mental health..

What it does

VibeNote is a mood-aware note-taking app.

Lets users write notes or journal entries.
Uses Artificial Intelligence to detect the emotional tones.
Automatically tags each note with a detected mood.
Creates statistics regarding the user's mood over time.

How we built it

Frontend: HTML, CSS, JavaScript
Backend: Node.js,
Sentiment Analysis: Gemini API by Google used for AI Sentiment Analysis
Clean and minimalist UI/UX designed to keep the focus on writing.

Challenges we ran into

Making sentiment analysis feel natural and accurate.
Designing a UX that was both minimal and functional.
Efficiently storing and filtering emotion-tagged notes.

- Implementing Artificial Intelligence correctly

Accomplishments that we're proud of

Built a fully functional emotion-tagged note-taking app within a limited timeframe.
Successfully integrated real-time sentiment detection.
Designed a smooth and minimal user interface focused on ease of use.
Spread awareness regarding mental health

What we learned

Working with Artificial Inteligence for mood detection was both challenging and rewarding.
Great UX is about what you choose not to add—simplicity matters.
Prototyping fast and iterating based on feel and flow made a huge difference.