Happify Prototype and Overview
The Urgency and the Problems Happify Aims to Solve
Happify Features Highlight
Happify Technology Stack
Happify Website: Landing Page
Happify Website: Dashboard Overview Page
Happify Website: Anonymous Heatmap Section
Happify Mobile Application Prototype

Happify: Detect, Support, Grow Together!

🧠 Inspiration

Mental health challenges among Indonesian adolescents are increasing, yet 1 in 3 young people struggle to recognize early emotional changes, seek help due to stigma, or access timely support (I-NAMHS 2022). We created Happify to make mental health support more approachable through AI, community, and human-centered technology that encourages early intervention before problems become more severe.

💡 What it does

Happify is an AI-powered mental wellness ecosystem that helps users Detect, Support, and Grow. It combines an AI companion device, mobile and web applications, mood tracking, AI-assisted journaling, anonymous peer communities, emotional heatmaps, mindfulness activities, and professional referrals to provide continuous mental health support while prioritizing privacy and safety.

🛠 How we built it

We built Happify using:

Web Frontend: React + Vite, TailwindCSS, ShadCN, Rechart.js
Mobile: Dart and Flutter
Backend: Node.js, Express, Prisma
Database: PostgreSQL and Firebase
AI: Python, FastAPI, Ollama
Deployment: Docker and Netifly

🚧 Challenges we ran into

Here are some of the challenges from a developer’s perspective:

Time Management : Balancing time between brainstorming sessions, coding, and discussions was a significant learning curve. We had to quickly adapt and find ways to manage our time effectively.
Maintaining Focus : Staying focused during long hours of coding was tough. We had to take breaks, keep each other motivated, and sometimes just step away for a bit to clear our minds.
Fully Integrated Ecosystem : One of our biggest challenges was integrating AI, IoT, web, and mobile into a single ecosystem while maintaining a smooth user experience. We also focused on balancing AI capabilities with privacy, safety, and responsible mental health support, ensuring the system provides early assistance without acting as a diagnostic tool.

🏆 Accomplishments that we're proud of

We successfully built an end-to-end mental health platform that combines AI voice interactions, mood analysis, journaling, anonymous communities, emotional heatmaps, professional referrals, and an AIoT companion device into one cohesive ecosystem with a working web and mobile prototype.

📚 What we learned

This project taught us that impactful AI solutions require more than advanced technology, they must be human-centered, privacy-aware, and designed with real user needs in mind. We also gained valuable experience in full-stack development, AI integration, IoT systems, and cross-platform collaboration.

🚀 What's next for Happify

Our next steps are to integrate multimodal emotion recognition, expand partnerships with psychologists and healthcare providers, deploy the AI companion device in real-world pilot programs, and further personalize AI recommendations to support long-term emotional well-being across schools and communities.