Inspiration

Many people struggle to maintain a consistent health and wellness routine due to busy schedules, stress, lack of motivation, and scattered resources. We wanted to create a solution that feels simple, personalised, and supportive, especially for students and working individuals. Our inspiration came from the idea that well-being should be accessible and enjoyable, not overwhelming.

What it does

Our prototype is a smart health & wellness companion that helps users build healthier habits through:

Personalised fitness recommendations

Daily mood & stress tracking

Sleep analysis and reminders

Micro-workout suggestions for busy people

Nutrition insights based on user preferences

Gamified progress tracking (badges, streaks, rewards)

The goal is to make wellness easy to follow and engaging, not boring.

How we built it

We used a combination of:

Frontend: React Native / Flutter (prototype UI)

Backend: Firebase for authentication & real-time data

AI Models: Basic ML logic for habit suggestions and stress detection

Design: Figma wireframes for user flow and dark-mode UI/UX

APIs: Integrated step counting, sleep data, and heart-rate (if devices support)

The prototype focuses on user interaction, clean dark-mode UI, and smooth workflows.

Challenges we ran into

Getting accurate wellness data without external devices

Designing a dark-mode UI that is clean and not cluttered

Building personalised recommendations with limited training data

Time constraints during the hackathon

Balancing both usability and feature richness

Accomplishments that we're proud of

Built a functional prototype in limited time

Designed a modern, aesthetic dark-mode interface

Implemented personalised habit suggestions using lightweight ML logic

Created a health dashboard that is simple and motivating

The concept received positive feedback from peers/mentors

What we learned

How to design user-centric wellness features

Importance of clean UI/UX in motivating users

Basics of integrating health APIs

Collecting and analysing user behavior to improve wellness recommendations

Working under pressure and organising tasks within a team

What's next for Untitled

Add advanced AI recommendations using user history

Integrate with wearables (smart band/watch)

Expand mental health features like guided journaling & breathing exercises

Add community challenges and friend support systems

Launch beta testing to gather real user feedback

Built With

  • base44
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