Native Climate Agriculture Copilot powered by 1B

Created by team dhenu on November 09, 2024

Dhenu Climate is an innovative, fully native, voice-based vernacular assistant designed to empower farmers in remote locations with climate-resilient and sustainable agricultural practices. As climate change increasingly disrupts traditional farming—bringing unpredictable weather patterns, prolonged droughts, and new pest infestations—farmers in low-connectivity and low-income areas face unprecedented challenges. This is especially true in countries like India, across Africa, and in other developing nations where access to advanced technological solutions is limited. Recognizing the barriers of internet connectivity and the high costs associated with conventional GenAI platforms, Dhenu Climate leverages a fine-tuned version of Llama3.2-1B that runs directly on smartphones. By utilizing on-device Retrieval-Augmented Generation (RAG), the assistant provides real-time, context-specific advice without the need for internet access. This ensures that even in the most isolated regions, farmers can receive timely guidance on sustainable farming techniques, pest management, soil conservation, and adaptive strategies to cope with climate variability. The assistant operates through voice commands in local languages, making it accessible to farmers regardless of literacy levels. By offering personalized suggestions and answering queries about best practices, Dhenu Climate helps farmers optimize their yields while preserving the environment. It empowers them to make informed decisions that enhance food security and promote economic stability within their communities. In essence, Dhenu Climate bridges the digital divide by bringing advanced AI capabilities to those who need it most, without the dependencies on infrastructure that have traditionally limited such technologies. By facilitating the adoption of climate-resilient practices, it plays a crucial role in supporting sustainable agriculture and improving the livelihoods of farmers in developing regions.

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