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CLIENT: ASTROSAYS·MOBILE & AI · VEDIC ASTROLOGICAL INTELLIGENCE

AstroSays – Vedic Astrology Platform

A cross-platform mobile application powered by Flutter, PostgreSQL, and custom-trained ML models with LLM synthesis, providing automated Kundali charts, planetary transit analysis, and natural-language astrological interpretations.

FlutterPostgreSQLDockerPythonML ModelsLLM Integration
PRIMARY BUSINESS OUTCOME
Planetary Ephemeris & Chart Calculation Precision
99.4%

01 // SYSTEM OVERVIEW

AstroSays is an innovative Vedic astrology mobile application that merges traditional mathematical Vedic astronomy with modern machine learning and generative AI to deliver deep, personalized astrological insights.

THE CHALLENGE

Accurate Vedic astrology relies on intricate mathematical formulas involving planetary longitudes, ascendant calculations, house divisions, and dasha timing cycles. The goal was to build a fluid, cross-platform mobile experience capable of high-precision astronomical calculations while leveraging ML and LLMs to produce contextual chart explanations without excessive battery drain or latency.

THE ARCHITECTURE SOLUTION

We developed a responsive Flutter frontend paired with containerized Python backend microservices in Docker. We trained ML models and integrated an LLM pipeline with domain-specific guardrails to dynamically generate personalized chart interpretations and planetary predictions based on the user's precise birth coordinates.

02 // ARCHITECTURAL BLUEPRINT

Flutter client with high-performance reactive UI rendering and custom chart canvas
Containerized Python & FastAPI microservices hosted in Docker for astrological calculations
PostgreSQL database optimized for user profiles, chart histories, and transit logs
Integrated LLM inference pipeline tailored for astrological chart synthesis with strict prompt guardrails

03 // VERIFIED PRODUCTION OUTCOMES

Over 99.4% mathematical accuracy validated against standard astronomical ephemeris data
Sub-500ms chart generation and instant personalized dasha reports
Deployed seamlessly across iOS and Android with single-codebase Flutter architecture
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