Inspiration
College students today face rising levels of stress, anxiety, burnout, and social isolation, yet mental health support remains limited or stigmatized in most campuses. I wanted to build something that makes seeking help simple, private, and stigma-free — a digital space where every student feels heard and supported.
What it does
MindMate is a digital psychological intervention system designed for college students. It provides: AI-guided emotional support chatbot for instant help and coping strategies Confidential counselling booking with campus or online counsellors Resource hub with self-help guides, mindfulness tools, and wellness articles Role-based login for students and admins Together, it offers a safe, accessible, and holistic mental health ecosystem for institutions.
How we built it
Developed using React.js, Tailwind CSS, and Node.js for a responsive and smooth UI. Integrated Gemini API for natural, empathetic AI conversations. Designed content architecture for mental health resources with tags, reading time, and ratings. Deployed on Vercel for seamless accessibility.
Challenges we ran into
Creating an empathetic AI flow that feels supportive rather than robotic. Structuring the platform to maintain user privacy and confidentiality. Balancing aesthetics, responsiveness, and accessibility for students with diverse needs.
Accomplishments that we're proud of
Built a complete functional prototype as a solo developer within hackathon timelines. Designed an interface that promotes stigma-free help-seeking among students. Successfully implemented AI-driven mental health first aid.
What we learned
How to integrate AI models into real-world applications. The importance of user experience design in sensitive topics like mental health. Managing end-to-end development — from concept to deployment — as a solo participant.
What's next for MindMate
Build a mobile version for easier access. Add voice-based conversational AI for hands-free interaction. Introduce multilingual and regional language support. Expand the AI model’s emotional understanding and integrate real-time mental health tracking.
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