Update README.md

README.md

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 10. Conclusion
 
-The Scent Vector Code (SVC) methodology provides a reproducible, quantitative, and computationally accessible representation of perfumes. By combining data extraction, weighted feature encoding, normalization, and vector operations, SVCs create a scalable digital language for fragrances, bridging the gap between human olfaction and computational analysis.
+The Scent Vector Code (SVC) methodology provides a reproducible, quantitative, and computationally accessible representation of perfumes. By combining data extraction, weighted feature encoding, normalization, and vector operations, SVCs create a scalable digital language for fragrances, bridging the gap between human olfaction and computational analysis.
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+For more detailed analysis, methodology diagrams, and examples, please refer to scentbyte.pdf in the main directory.