ZenAI

ZenAI – A mirror for your emotions, a guide for your peace.

Comment

🧘 ZenAI – A mirror for your emotions, a guide for your peace. 🌟 Inspiration

We live in a time of constant digital noise and emotional overload. While we have tools to measure steps and heartbeats, there are still few that help us reflect on our inner world. We were inspired by the idea that mental wellness should be proactive, accessible, and personal — and that AI could be a powerful, nonjudgmental companion in that journey.

ZenAI was born from the desire to create a safe space where users could speak, reflect, and grow — guided by AI that listens, understands, and responds with calm. 💬 What it does

ZenAI is your AI-powered emotional wellness assistant. It helps users track their mood, reflect through journaling prompts, and hear personalized, calming voice responses generated by AI.

Key features:

✍️ Users input thoughts via voice or text

🧠 AI detects emotional tone (happy, sad, anxious, etc.)

🔈 Generates a personalized, soothing voice response (via ElevenLabs)

📔 Suggests reflective prompts or positive affirmations

📊 Stores and graphs mood trends over time (via Supabase)

🎥 (Optional) Delivers motivational video messages via Tavus

🛠️ How we built it

We used the following stack:

Bolt.new: For designing a clean, user-friendly, no-code UI

ElevenLabs: For generating human-like, calming voice responses based on detected mood

Supabase: For authentication, mood journaling storage, and emotional trend tracking

Tavus (optional): For generating AI video-based encouragement and mindfulness tips

Python + NLP Models: To perform sentiment and emotion detection from user input

The flow:

User speaks or types their thoughts

NLP model detects emotion from input

Response is crafted based on mood

ElevenLabs voices the response

Mood log saved in Supabase for later visualization

🧱 Challenges we ran into

🎭 Accurately detecting complex emotional tone in short inputs

🌐 Ensuring voice responses felt human and soothing

⚖️ Balancing data privacy with analytics

⏳ Managing latency between input, analysis, and voice playback

💡 Crafting personalized, non-generic journaling prompts that truly resonate

🏆 Accomplishments that we're proud of

Created a functional AI mood companion that listens, speaks, and tracks feelings

Designed an experience that feels safe, soft, and supportive

Successfully integrated multiple APIs (Bolt, ElevenLabs, Supabase, Tavus) in a seamless flow

Received positive emotional feedback during testing from users who "felt heard"

📚 What we learned

The real power of AI isn’t just automation — it’s connection

Voice and tone matter just as much as words when it comes to emotional design

How to balance technical complexity with emotional UX

How to orchestrate a multi-tool AI experience across voice, video, and text

The importance of making mental wellness inclusive and non-intimidating

🔮 What's next for ZenAI

🌈 Add voice input with live mood detection

🧑‍🎨 Allow users to choose their AI’s personality, voice, and tone

📱 Release ZenAI as a mobile-first journaling app with emotion graphs

🧘 Integrate guided meditations and breathing exercises tailored to your current emotion

🤖 Connect with wearables for emotion + body sync (e.g., stress and heart rate)

🧑‍💼 Build an enterprise edition for workplace wellness & burnout prevention

Built With

Share this project:

Updates