Inspiration
Mental health struggles are often overlooked due to stigma, cost, or lack of access to resources. With growing stress in students and professionals, we wanted to build an AI-powered mental wellness companion that’s always available, affordable, and supportive
What it does
🤖 AI Chatbot → Provides stress relief, guided breathing, journaling prompts, and motivational support. 📊 Mood Tracker Dashboard → Lets users log emotions and view trends over time. 🎨 Clean, calming UI → Simple but engaging design for easy daily use. 🔔 Lifestyle Reminders → Encourages healthy routines (hydration, sleep, breaks). 🌎 Community Connect (optional) → Links users to trusted mental health NGOs/resources nearby.
How we built it
Frontend (React.js / HTML, CSS, JS) → User-friendly interface for chatbot + dashboard. Backend (Flask / Node.js) → API for chatbot + database handling. AI/ML Models: Hugging Face DistilBERT → Sentiment analysis for mood detection. Pre-trained NLP → Chatbot empathetic responses. Database (Firebase / SQLite) → Stores user mood logs and feedback. Deployment (Vercel + Heroku/Render) → To make it accessible online.
Challenges we ran into
Designing chatbot replies that feel empathetic, not robotic. Creating a dashboard that is both lightweight and informative. Ensuring our prototype works smoothly with minimal resources.
Accomplishments that we're proud of
Built a working prototype within a few days. Combined AI + Lifestyle + Design to create something impactful. Addressed a real-world problem (mental health accessibility) with technology.
What we learned
Practical use of AI/ML in social good projects. How to design apps that are both technically useful and visually calming. Importance of balancing innovation, simplicity, and feasibility in a short hackathon timeline.
What's next for MindEase
Add voice-based interactions for accessibility. Expand community resource integration. Personalize AI recommendations over time with continuous learning.
Built With
- express.js-ai/ml:-hugging-face-transformers
- github
- heroku/render
- javascript-frameworks:-flask
- languages:-python
- react.js
- scikit-learn-database:-firebase
- sqlite-platforms-&-tools:-vercel
- vs
