MindTrack AI

The Problem: The Gap Between Feeling and Healing

Mental wellness often starts with a feeling — being stressed, tired, or disconnected. But between that first moment of “something feels off” and getting professional help lies a huge gap. Existing self-assessment tools feel too clinical. Finding the right resources feels overwhelming. People need a gentle, personal, intelligent first step.

Our Solution: MindTrack AI

MindTrack AI is a web app built to empower individuals at the very start of their mental wellness journey. It works on three core pillars: Detect: Simple, guided mood check-ins that feel conversational, not clinical. Connect: An empathetic AI Companion that suggests coping strategies and resources. Personalize: AI-powered insights tailored to each user’s unique patterns.

The Standout Feature: The AI Wellness Report

We pivoted away from generic graphs and built the Wellness Balance Radar Chart. One glance shows how a user’s Mood, Stress, Energy, Sleep, and Social Connection balance out. It’s not just data — it’s a personal snapshot that instantly highlights areas of strength and areas needing focus.

The Evolution: Building a Lasting Companion

A one-time tool is useful — but real wellness requires tracking over time. That’s why we added: User Authentication (secure login system) Supabase Database (for storing private check-ins) This transforms MindTrack AI into a long-term wellness companion, where users can safely build their own mental health history.

The Payoff: Visualizing Your Victories

We introduced the Personalized Wellness Trends Graph, which connects check-ins across the day. Example: A user feels stressed at 11 AM. After applying a coping strategy, they check in again at 2 PM. The graph shows stress decreasing while mood and energy rise. This creates tangible, visual proof that small positive actions lead to measurable improvements.

Tech Stack

Frontend: Next.js + Tailwind for a clean, fast, and responsive design Backend / Auth: Supabase for authentication and secure data persistence AI Engine: OpenAI API for empathetic conversational AI and report generation Data Visualization: Chart.js for Radar + Trend graphs Deployment: Vercel for smooth web hosting

Challenges We Ran Into

Designing charts that were empathetic, not clinical Shifting from a “weekly trend” mindset to real-time wellness tracking Implementing secure, user-friendly authentication without breaking flow Making sure personalization was both useful and approachable

Accomplishments We’re Proud Of

Turning a hackathon idea into a polished, working app Designing the Wellness Balance Radar Chart, a novel mental health visualization Building persistence and authentication in a short timeframe Creating a system that genuinely helps users see their growth

What We Learned

Mental health tools must balance technical rigor with empathy Small pivots (like changing a graph type) can drastically improve usability Building for long-term user trust requires a focus on security and privacy from the start

What’s Next

Expand the AI Companion to support multi-lingual conversations Add community-driven features (anonymous peer stories, safe sharing) Integrate wearables (sleep trackers, heart rate monitors) for richer wellness reports Partner with mental health organizations to provide pathways to professional help