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AI Astrologer Veadicastro Overcomes Accuracy Issues, Gains Search Traction

The creator of Veadicastro, an AI-powered astrology application, details the challenges encountered during its development. Initial attempts to integrate AI with astrological calculations proved inaccurate, requiring extensive debugging of astronomical data and API logic. The project also faced issues with AI responses becoming repetitive for personal questions, necessitating prompt and response structure adjustments. Despite these hurdles, the application has gained traction, achieving over 3 million impressions on Google Search. AI

IMPACT Demonstrates challenges in applying LLMs to niche domains requiring high accuracy and nuanced responses.

RANK_REASON This is a personal project update about a specific application, not a major industry release or development.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Astrologer Veadicastro Overcomes Accuracy Issues, Gains Search Traction

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This is a personal project update about a specific application, not a major industry release or development.
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161 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · AyushBlogger ·

    Building an Veadicastro Using Swiss Ephemeris and LLMs

    <p>A few months ago I started building Veadicastro.</p> <p>At first I thought:</p> <p>“I’ll connect AI with astrology and it’ll work.”</p> <p>It didn’t 😅</p> <p>The biggest problem was not frontend.<br /> Not backend.<br /> Not even SEO.</p> <p>It was accuracy.</p> <p>If astrolog…