Healthy Bites AI App

Inspiration

Sleep deprivation and poor nighttime habits are common among students and professionals. We wanted to build an app that helps users track, improve, and personalise their sleep routine using AI insights.

What it does

Healthy Nites analyses your sleep patterns, daily habits, and stress levels to recommend bedtime routines, calming sounds, and relaxation exercises. It also provides smart alerts for hydration and screen‑time reduction before bed.

How we built it

We used Python and Flutter for the app’s backend and UI. The AI model was trained using TensorFlow to detect sleep quality trends. Firebase handles user authentication and data storage securely.

Challenges we ran into

Integrating real‑time sleep tracking with wearable devices was tricky. We also faced challenges in balancing AI recommendations with user privacy and ensuring smooth cross‑platform performance.

Accomplishments that we're proud of

We achieved accurate sleep‑pattern predictions and created a clean, intuitive interface. The app’s “Smart Wind‑Down” feature became a favourite among testers.

What we learned

We learned how to combine health data with AI ethically, how to optimise mobile performance, and how small UX details can improve user trust and engagement.