Thrive Link

🌿 About the Project - "Thrive Link"

🌟 Inspiration

I was inspired by seeing how many people—especially students and older adults—struggle to navigate health resources when facing mental or physical challenges. I wanted to create a trusted, unified platform that combines guidance, community, and personalized support so no one feels alone or overwhelmed.

I also saw how overwhelming it can feel to manage mental and physical health when resources are scattered and support is hard to access. This is something that gives people clarity, comfort, and community in one place, from students, caregivers, and older adults.

💡 What it does

ThriveLink AI is a personalized wellness navigator that:

Tracks daily mood and physical symptoms
Provides tailored resources based on age, location, and eligibility
Offers micro-challenges to build healthy habits
Connects users to moderated peer support circles
Highlights positive memories and milestones to encourage progress

🛠️ How I built it

I designed ThriveLink as a modular React web app, structured into key components:

Dashboard: Central hub for insights, resources and actions
Check-In: Daily mood and symptom logging/tracking
Resource Feed: Dynamic recommendations tailored by age, location, and needs
Micro-Challenges: Small, engaging goals to encourage positive habits
Support Circles: Community spaces with professional moderation, inspired by moderated peer communities

I focused on a clean, accessible user experience and prepared for future integration with AI models and secure authentication. I used React Router for navigation, mock JSON data for resources, and planned integration with Firebase and AI services for future development.

🌱 What I learned

Building ThriveLink taught me how to:

Design empathetic health tech solutions
Organize complex features into a clear user flow
Balance scope and feasibility within tight deadlines
Think about privacy, trust, and accessibility from the start
Translate a big idea into a feasible MVP
Design user flows for sensitive health scenarios
Consider privacy and trust from day one
Build with scalability and modularity in mind

⚡ Challenges I ran into

Some challenges included:

Deciding which features to prioritize for the MVP
Sourcing credible health resource data and structuring it dynamically
Designing an interface that feels supportive, not clinical
Staying focused and delivering a polished prototype under time pressure
Balancing the scope of features with the hackathon timeframe
Designing a clear, welcoming interface that feels supportive rather than clinical
Organizing demographic and location-specific resource data
Creating a polished demo with limited time and resources