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AI & Data Science CBEAgri-Market AI
Problem Statement
Small-scale farmers in Tanzania often lack timely and reliable information about current crop prices and future market trends, making it difficult to determine the right time and place to sell their produce. As a result, many farmers are forced to accept low prices after harvest, while buyers and traders struggle to efficiently identify available produce and make informed purchasing decisions. This creates an inefficient agricultural market where buying and selling decisions are largely influenced by limited information, informal networks, and guesswork rather than reliable market data.
Proposed Solution
Agri-Market AI is a digital platform that connects farmers with buyers and provides reliable crop-price information. Farmers can list their crops, quantity, location, and price, while buyers can view available crops and connect with farmers. The AI analyses current and historical market prices to predict short-term price trends. It then advises farmers whether to sell now or wait and helps buyers decide whether to buy now or wait, making agricultural trading more informed and data-driven.
Innovation
It combines a digital agricultural marketplace with AI-powered price prediction in one platform. It does not only connect farmers with buyers but also uses market data to help both sides make better decisions about when to sell or buy.
Expected Impact
Better prices for farmers by helping them make informed selling decisions. Improved market access by connecting farmers directly with buyers and vendors. Reduced dependence on guesswork through AI-powered price predictions. Faster and easier buying for vendors by helping them find available crops.