MindEase

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  Homepage

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  Login page

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  Signup page

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  chatbot Interface

Inspiration

In a world where mental health is often overlooked, we wanted to build something accessible, simple, and available 24/7. MindEase was inspired by the need for a lightweight, AI-powered mental health assistant that anyone can deploy and use especially beginners and hackathon participants.

What it does

MindEase is an AI chatbot designed to provide emotional support, help users manage stress and anxiety, and promote overall mental well-being. Users can chat with MindEase anytime for calming, AI-generated responses using a clean, single-page interface.

How we built it

Backend: Python with Flask lightweight and easy to deploy AI Model: Hugging Face Inference API using google/flan-t5-small Frontend: Vanilla HTML, CSS, and JavaScript no frameworks, just clean and fast UI API: CORS-enabled Flask API for seamless cross-browser use

Challenges we ran into

Rate limiting and latency with the free Hugging Face API Crafting prompts that result in supportive, empathetic AI responses Keeping the frontend clean without relying on frameworks

Accomplishments that we're proud of

Deployed a functional mental health chatbot using only essential tools Created a fully working MVP in a short time Prioritized beginner-friendliness without sacrificing usefulness

What we learned

How to integrate Hugging Face Inference API with Flask Prompt engineering for mental health-focused conversations Building a fully CORS-compliant API for frontend compatibility

What's next for MindEase

Add journaling and mood-tracking features Upgrade to a more advanced language model for richer responses Deploy as a mobile-friendly progressive web app (PWA) Explore local/offline model support for privacy

Built With

• firebase
• flask
• gemini
• html5
• hugging
• python