Powdered spices are renowned for their aromatic qualities and culinary importance. However, this is challenged by widespread adulteration (Food Fraud) with chalk, dyes, starches, and other harmful substances that threaten food safety, quality, and consumer health. Also, the conventional testing is centralized, involves chemical usage, cumbersome, expensive, and slow, this limits its use for rapid detection and onsite market surveillance. This project proposes a portable NIR spectroscopic tool enhanced with smart machine learning models for the authentication of powdered turmeric, pepper, and ginger in the Ghanaian market. The method will offer a rapid, affordable, user-friendly, non-destructive, and non-chemical-based analysis tool, providing results in minutes onsite. This innovation, when utilized by inspectors, processors, and vendors, will enhance food quality, safety, regulatory enforcement, consumer protection, and ultimately support Ghana’s advancement in smart Agro-food systems.