Artificial Intelligence’s Function in Ayurvedic Medicine’s Quality Assurance Procedures
Author : Bibin KB
Abstract :
The quality control of Ayurvedic formulations depended on experiential knowledge of Vaidyas, organoleptic factors evaluation, and manual identification of botanical raw materials. These traditional procedures have provided therapeutic dependability for many years; they present internal issues related to subjectivity, scalability and reproducibility, particularly in industrial-level production. The globalisation of Ayurveda and increased regulatory scrutiny have led to a growing demand for standardisation, evidence-based and data-driven quality control systems to guarantee consistency in product, safety and adherence to national and international standards. Lately, Artificial Intelligence has started making it much easier to modernise how we check the quality of Ayurvedic medicines. This article critically examines AI-driven approaches, including machine learning, computer vision and advanced data analytics and their application at various phases of pharmaceutical quality assessment. AI-driven methods improve the authenticity of plants, adulteration detection, predictive process oversight and analysis of complex data produced by spectroscopic and chromatographic evaluations. AI will help in enabiling hybrid quality control paradigm by merging traditional quality indicators with contemporary analytical measurements, by maintaining ancient principles while ensuring objectivity, repeatability and operational efficiency.
This study mentions the implications of AI integration for compliance with WHO, GMP and AYUSH standards, reducing human error and improving industrial processes. Substantial challenges, such as data heterogeneity, model interpretability, and the ethical integration of traditional knowledge, are also discussed. The integration of AI with Ayurveda signifies a strategic innovation approach to enhance product quality, regulatory integrity, and worldwide acceptability of Ayurvedic medications.
Keywords :
Ayurveda, Artificial Intelligence, Quality Control, Herbal Authentication, Pharmaceutical Standardisation, Regulatory Compliance.
