Case StudyAlgorithmPython
Case Study: Modernizing Ancient Architectures (Vedic Algorithm)
2026-01-09•Yash Rawat
Challenge: Build a "Production-Grade" astrology engine that is empirically accurate, not just theoretically correct.
The Accuracy Paradox
Most astrology software varies by 1-2 degrees. I didn't want "close enough"; I wanted "NASA precision." I built a test harness validating calculations against 400 historical charts from B.V. Raman's Notable Horoscopes (1860s-1930s).
Technical Wins
- Empirical Validation: Achieved 96% accuracy against manual historical records.
- Complexity Handling: Architected an API serving 25+ calculation types (Divisional Charts D1-D60) in sub-second response times.
- Bug Hunting: Found and patched critical bugs in upstream open-source libraries by cross-referencing astronomical data.
This project isn't about belief; it's about data integrity. If I can model the complexity of planetary physics with 96% accuracy, imagine what I can do for your business logic.