Discover the perfect timing for your marriage through the guidance of Vedic Astrology and an advanced AI-ML model.
Astrology holds the keys to understanding life’s milestones, and with AstroNidan’s Marriage Timing Prediction, you can uncover the most favorable periods for tying the knot. This innovative product analyzes your birth chart to identify planetary influences that determine the timing of your marriage. Whether you’re planning ahead or seeking clarity on delays, AstroNidan provides accurate, personalized predictions to guide you toward this important life event with confidence.
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68% |
4 |
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23% |
3 |
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6% |
2 |
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2% |
1 |
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1% |
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Astrology holds the keys to understanding life’s milestones, and with AstroNidan’s Marriage Timing Prediction, you can uncover the most favorable periods for tying the knot. This innovative product analyzes your birth chart to identify planetary influences that determine the timing of your marriage. Whether you’re planning ahead or seeking clarity on delays, AstroNidan provides accurate, personalized predictions to guide you toward this important life event with confidence.
You will get answers to the following -
Marriage is a significant event in one's life, and many individuals may have concerns regarding its timing. While some may believe in predestination, others may seek guidance from astrology.
Classical astrology books like Brihat Parashara Hora Shastra, Uttara Kaalamrit, Bhavarth Ratnakar, Sarvarth Chintamani, Laghu Parashari & Madhya Parashari prescribe thousands of principles. However, applying these principles through the human mind to make predictions is tedious and error-prone.
In AstroNidan, we have programmed thousands of logical statements in Python language and trained and validated them through multiple AI/ML models to predict marriage time for over 100,000 Kundalis.
Some of the salient features are -
We have a team of Data Scientists, ML Scientists, Data Engineers, Sanskrit Scholars, Astrology Researchers, and Python Programmers engaged from top universities (IIT, IIM, JNU & BHU), who have worked tirelessly to build this product.
We have prepared this report after factoring in -
We have used semi-supervised learning methods to explore hidden patterns & combinations and evaluated numerous ML models such as Neural networks, SVM, Random Forest, and Gradient Boosting algorithms. We shortlisted the best-performing ML models and fine-tuned them further through our robust feature selection process.