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  Mood Journal

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  Hub Dashboard

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  Therapy Dashboard

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  Mindmate

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  Mindmate Hub

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  ChatBot

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  VideoChat

MindMate: Your AI Wellness Companion

Inspiration

Mental health is essential, but too often people struggle in silence—whether from social stigma, lack of timely support, or inaccessible resources. Our journey began with a simple desire: use technology to amplify empathy and make real, proactive help available for all. Thus, MindMate was born—a platform with the power of AI and the heart of human care.

What it does

-Role-based access: Secure logins for patients, therapists, and supervisors. -AI-powered chatbot: Empathetic, multilingual conversational support. -Mood journaling: Visual, interactive mood and diary logs. -Real-time chat & video: Support when it’s needed most, including scheduled therapy sessions. -Emotion detection: Uses webcam data to visualize mood trends. -Analytics dashboards: Progress, feedback, and outcomes for both patients and clinical teams.

How we built it

1. Frontend: Built with React.js and Tailwind CSS for speed, accessibility, and modern style.
2. Backend: RESTful APIs in Node.js + Express.js, storing data securely in MongoDB via Mongoose.
3. AI Integration: -Large Language Model (LLM) for chatbot: -Mistral model accessed through Hugging Face API. -Emotion detection using pre-trained image models.
4. DevOps: GitHub Actions for CI/CD, deployed live on Render and Netlify.

Challenges we ran into

-Handling multi-role authentication without security loopholes. -Debugging real-time chat & video features under spotty network conditions. -Integrating and tuning open-source AI models to be accurate and reliable. -Safeguarding user privacy and sensitive health data.

Accomplishments that we're proud of

-Our seamless, all-in-one mental wellness experience, from emotion tracking to therapy feedback. -Tight frontend-backend integration supporting complex user journeys. -Adopting ethical AI — offering real help, not just novelty. -Learning from every bug, late-night merge conflict, and feedback sprint.

What we learned

1. Mastered advanced MERN stack development patterns.
2. How to deploy, debug, and scale modern web apps (npm, yarn, pm2, CI/CD).
3. Critical lessons in data privacy and user trust.
4. Collaborating across roles, schedules, and skill sets.

#What's next for MindMate

1. Add multi-language and accessibility features.
2. Integrate with certified mental health professionals and organizations.
3. Expand AI and analytics capabilities.
4. Launch mobile apps for Android/iOS.

Try MindMate—where machine learning meets heart, and every user is never alone.