Astro Karma Jyoti AI | AI-powered Astrology
The goal was to design an astrology app that makes South Indian Vedic astrology accessible and easy to understand for everyone. It focuses on delivering meaningful insights across life areas like career, love, and personal growth.
The product offers accurate, on-demand astrological guidance powered by AI and grounded in traditional principles. Using a user’s name, date of birth, and birth location, it provides personalized predictions comparable to an experienced astrologer.
- Project
- Astro Karma Jyoti AI | AI-powered Astrology
- My Role
- Product Designer
- Category
- Lifestyle | Wellness SaaS App
- Platform
- Responsive Web App (All Devices)
- Tools
-
About Astro Karma Jyoti AI
An AI-powered astrology product built on South Indian Vedic principles to deliver accurate, on-demand guidance. It transforms user details into personalized insights across career, relationships, and life decisions. Designed to match the reliability of an experienced astrologer while remaining simple, accessible, and trustworthy.
The Problem
Many users across Gen Z, millennials, and older age groups seek astrological guidance but face high costs, limited availability, and fragmented insights from traditional astrologers. This app addresses these gaps by providing affordable, always-available, and comprehensive astrology through a trusted AI system.
- Astrologers are not available on demand or in real time
- High consultation costs for repeated or detailed guidance
- Insights often cover only one life aspect per session
- Limited transparency in data sources and rules followed
- Inconsistent accuracy across different astrologers
- No scalable ecosystem for real-time AI-based astrology
The core question we needed to answer:
How might we make accurate, trustworthy Vedic astrology accessible to everyone at any time, without the high cost, limited availability, or inconsistency of traditional astrologer consultations?
The Goal
The goal was to revamp the existing website to:
- Establish a unified and consistent dashboard design system across all clients
- Improve data visualization to make key metrics easy to scan and understand
- Create a clear visual hierarchy that highlights the most important KPIs
- Enable flexible filtering so users can explore and compare performance data easily
- Support scalability with reusable components for faster setup and maintenance
- Deliver a dashboard experience that aligns with REQ’s brand standards and market expectations
Design Process
The process focused on understanding user intent, validating astrological trust, and designing an MVP that could deliver accurate insights at scale. Each phase was iterative, informed by real user needs, stakeholder input, and post-launch learning.
Design is never final. Post-launch insights, data, and feedback continuously shape future iterations.
Market & User Research
Key Market Insights
-
Astrology is mainstream in India
Astrology is a habitual digital behavior rather than a niche belief, with strong daily & weekly engagement across age groups.
-
Young adults drive demand & revenue
Users aged 20–35 form the largest and highest-spending segment, using astrology for career, relationships, and financial decisions.
-
Gen Z is the fastest-growing segment
Gen Z users prefer quick, chat-based, and free-first experiences, with a strong focus on relationships and daily predictions.
-
Women are the primary users
Women form the majority of users, often seeking emotional reassurance, relationship guidance, and family-related insights.
-
Usage intent changes with age
Younger users explore astrology for curiosity and relationships, while older users seek guidance for stability, health, and long-term decisions.
-
Mobile-first, mass adoption behavior
Growth is strong in Tier-2 cities, with Android dominating usage, highlighting the need for accessibility and affordability.
These insights informed feature prioritization and pricing strategy for launch.
Age vs Intent Matrix
Competitive Gaps
Most platforms focus on single-aspect consultations and paid sessions, creating gaps in affordability, availability, and depth.
User Flow Design for Real-Life Decision Making
The user flow supports different mindsets, from quick curiosity to high-intent life decisions, allowing users to explore at their own pace and build trust before deeper commitment.
From Curiosity to Commitment
Enabled multiple entry points for casual and serious users
Prioritized free insights to deliver value early
Introduced personalization gradually to build trust
Avoided forced onboarding to reduce drop-offs
Designed paid flows only after relevance was established
Enabled repeat usage with flexible exit & re-entry paths
EMO Web — AKJ AI
Worried 😟 (4/5)
Uncertainty around career, relationships, and life decisions, amplified by conflicting astrology advice online.
Fear 😨 (3/5)
Fear of making the wrong choice at the wrong time and hesitation to trust AI for deeply personal guidance.
Frustrated 😣 (4/5)
High consultation costs, long wait times, and repeated effort across multiple astrologers and platforms.
Hope 🌱 (5/5)
Strong belief that personalized, always-available astrology can bring clarity, direction, and peace of mind.
Happy 😊 (5/5)
Feeling reassured when insights align with real life and trusting the app as a reliable decision guide.
Competitive Analysis
MVP Definition & Product Launch
Core features designed and shipped to enable end-to-end astrology experience at launch.
MVP Scope Overview
Birth data on boarding (Web + Mobile)
Zodiac illustrations system
Birth chart visualization
AI question & prompt model
Core astrology insights flow
Onboarding & Birth Data Collection
- Structured inputs to ensure accurate predictions
- Reduced friction with guided steps
- Designed for trust and data clarity
Core User Flow (MVP Journey)
- Entry from curiosity (free insights)
- AI-driven prompts guide exploration
- Paid flow introduced only after relevance
AI Question Model & Prompt Presets
- Prompts designed from real user intent to reduce cognitive load.
Birth Chart & Insight Visualizations
- Vedic-based logic
- Personalized output
- Scalable component
Visual System & Components
- Designed a reusable component system to scale features post-launch.
MVP → Launch Outcome
End-to-end experience shipped
Ready for iteration based on usage
Validated trust + relevance early
Post-Launch Insights & Iteration
After
We introduced a focused flow—Login → Report Preview → Download—positioning personalized astrology reports as a primary experience alongside AI guidance.
What I’d Do Differently
Shorten astrology reports for quick, clear reading within 15 minutes
Personalize prompt suggestions based on user age and life stage
Offer multiple astrology systems (Vedic, Western, Chinese) by user preference
This project shaped my approach to designing sensitive AI products: prioritize trust, deliver value early, and evolve experiences based on real user needs rather than assumptions.