Inspiration
The modern world moves fast—and our minds rarely get a break. We noticed a gap between long-form mental health solutions like therapy or meditation apps, and the need for simple, daily emotional hygiene.
We asked ourselves: What if you could mentally reset in just 5 minutes a day—with the help of AI?
Thus, WellNest was born—an AI-powered wellness companion designed to support emotional clarity, mindfulness, and personal growth through tiny, consistent habits.
What It Does
WellNest offers a “Mental Reset Capsule”—a daily 3–5 minute experience where users:
- Journal with AI prompts (text, voice, emoji)
- Track their mood passively
- Get personalized affirmations or wellness tips
- Reflect with poetic, compassionate AI replies
- End with one small action (like breathwork or gratitude)
It’s designed to be calming, inclusive, and available in English + Hindi.
How We Built It
We used:
- React + Tailwind CSS for a smooth, calming UI
- Flask backend + LangChain for connecting journaling prompts and mood insights
- OpenAI GPT-4 API + sentiment analysis models to generate responses
- Whisper for voice journaling
- Pinecone for storing contextual journaling embeddings
- Google Text-to-Speech & Speech-to-Text APIs for accessibility
- Canvas API to generate downloadable monthly “Wellness Snapshots”
Challenges We Faced
- Passive mood tracking without wearable data was tricky—we used typing speed, word tone, and hesitation gaps heuristically.
- Creating affirmations and reflections that feel warm, not robotic, took careful prompt engineering.
- Making the design inclusive and accessible (voice support, local language, minimal typing) took iterative testing and feedback.
- Handling multiple input modes (emoji, voice, text) was UX-sensitive.
What We Learned
- The smallest habits (like 1-minute reflection) can shift emotional well-being.
- AI can play a compassionate, non-judgmental role in mental health—if used carefully.
- Empathy is as important in design as in the AI model response.
- People want emotional clarity, not productivity—this shifted our approach.
🔧 Built With
- Frontend: React, Tailwind CSS
- Backend: Python, Flask
- AI/LLMs: OpenAI GPT-4, LangChain
- Voice Input: Whisper, Google Speech-to-Text
- Sentiment Analysis: TextBlob, transformers
- Embeddings/Memory: Pinecone
- TTS for Accessibility: Google Text-to-Speech
- Visual Generation: HTML5 Canvas API
- Deployment: Render / Vercel
- Design Tools: Figma (for mockups)
Log in or sign up for Devpost to join the conversation.