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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