SWASTH-Student Wellness Assistance and Support Through Health-tech
Source of Inspiration The reason behind SWASTH is that there was a need for an always available, student-centered wellness companion.
What SWASTH is: SWASTH is a mental wellness platform for students powered by AI. SWASTH provides mood-tracking features, emotional support powered by AI, tools for increasing focus, meditation features, gamification, and a community space for positive interactions.
How SWASTH was Developed: SWASTH uses React, TypeScript, and Tailwind for the frontend; FastAPI and Python for the backend; Superbase for authentication and the database and Mistral AI is used to fuel the AI chatbot .
Challenges We Faced: The main challenges we faced were developing AI responses with emotional awareness, integrating real-time mood data and maintaining distraction-free focus areas, and ensuring proper communication between the frontend and backend systems were present.
Accomplishments We Are Proud Of: We developed a full-stack AI wellness platform, which has features that support both mood analytics, gamification/community engagement and an empathetic AI companion designed just for students.
Learning Experiences: We learned how to create empathetic interactions with AI, how to integrate AI with real-world wellness solutions, how to manage full-stack web application architecture, and how to build user-centered mental health features in a responsible manner.
What is Next for SWASTH? Next, we plan on creating more personalized AI, developing additional advanced analytics, providing mobile-friendly features, allowing therapists access to the SWASTH platform, and expanding community wellness programs for long-term student support.
Built With
- fastapi
- mistral(ai)
- node.js
- postgresql
- python
- react
- supabase
- supabaseauth
- tailwind
- typrscript
- uvicorn
- vercel
- vite
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