Farmlingua

Problem Statement

Smallholder farmers in rural and suburban areas face limited access to localized, real-time agricultural knowledge. Challenges such as internet connectivity, language barriers, illiteracy, and a lack of extension workers result in outdated practices, low yields, poor pest/disease management, and limited market access.

Proposed AI Solution

Farmlingua is an AI-powered agricultural assistant accessible via mobile app, desktop, or USSD (offline), that delivers real-time, personalized guidance in local languages. Built on NLP, speech-to-text, RAG learning, and sustainability-focused data, Farmlingua answers farmer queries across topics like soil health, planting, fertilization, pest control, crop disease, harvesting, market access, and funding. It offers ethical, context-aware, data-driven support to improve yields, reduce environmental harm, and drive inclusive, regenerative agriculture.

Potential Positive Impact

• Increases productivity and food security for millions of underserved farmers
• Reduces environmental degradation via AI-suggested sustainable practices
• Boosts rural economic development by improving access to markets and funding
• Bridges the digital divide using USSD and voice features for low-literacy users
• Enables ethical AI adoption rooted in farmer empowerment and regenerative practices.

Key Features / Functionalities

Technical Requirements

NLP engine with multilingual and dialect support. RAG pipeline for real-time learning from agricultural datasets. Speech-to-text and text-to-speech capabilities (multilingual accent-aware). USSD server integration for offline interaction. Mobile/Web frontend with simplified UI/UX. Backend database for agricultural knowledge (sourced + proprietary). Secure data storage with encryption and anonymization. IoT/sensor data integration (optional future phase).