The Design Challenge

Traditional wellness apps offer generic experiences that fail to adapt to individual needs, resulting in low engagement and inconsistent results.

My research identified three key barriers:

1. Contextual Awareness Gap:
   Generic recommendations don't account for a user's current state or environment
2. Knowledge Barrier:
   Complex practices like yoga and Ayurveda are difficult to implement without guidance
3. Consistency Challenge:
   Users struggle to maintain wellness routines without timely, relevant interventions

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Human-Centered AI Principles

PranaVeda is built on three core design principles

• Adaptive & Personalized
  AI that evolves with users' changing needs and patterns, refining recommendations based on feedback.
• Contextual, Conversational & Multi-modal
  Interactions that feel natural and empathetic across touch-points, transitioning seamlessly between voice, text, and visual interfaces.
• Transparent, Ethical, & Conscious
  Making AI reasoning visible and understandable to users, while respecting user privacy.

A day in the life of Aching Ash

I focused on Ash, a representative persona from my research. Ash is a busy professional who struggles with back pain, stress, and poor sleep due to sedentary work habits and inconsistent wellness routines.

User Journey 1

Use Case: Ash experiences back pain after prolonged sitting during work meetings

PranaVeda AI is integrated with Ash's lifestyle. With his permission, it has access to his calendar, device accelerometer, and time-based patterns. By timing notifications during scheduled breaks, they feel less intrusive and more manageable. The passive interventions require minimal effort from Ash, increasing the likelihood of adoption. Suggestions are based on feedback and evolving preferences. Allowing user autonomy, helps Ash to choose from predicted responses or switch to text versus voice input.

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See the presentation for some of the key user journeys and how AI adapts to user behavior.