Farmipole

A comprehensive agricultural welfare scheme discovery and assistance system leveraging modern AI technologies to bridge the accessibility gap for Indian farmers. The sol is built on Restack's serverless infrastructure together with minddb, together, llamaindex and llama, enabling scalable deployment and efficient resource management. Core Components: Scheme Discovery Deploys specialized AI agents to continuously monitor and scrape government portals, agricultural ministry websites, and state-specific resources Uses LlamaIndex for efficient indexing of scheme documents, eligibility criteria, and application procedures Implements Together AI's API to leverage multiple LLMs (like Claude, GPT-4, and Llama) for robust information extraction and validation Creates structured datasets of schemes with metadata including deadlines, eligibility, benefits, and required documentation Multilingual Processing Pipeline Uses MindsDB for sophisticated data storage and real-time analytics Implements embedding-based similarity search to match farmers with relevant schemes Custom Telegram bot interface in regional languages Interactive scheme discovery through natural conversation End-to-end encryption for sensitive documents The system addresses key challenges in agricultural welfare distribution by: Eliminating language barriers through comprehensive multilingual support Reducing complexity through guided application processes Ensuring timely discovery of relevant schemes Regular updates incorporate new schemes, improve language models, and enhance user experience based on feedback and usage patterns. The system aims to significantly increase scheme adoption rates and ensure equitable distribution of agricultural welfare benefits across India's diverse farming communities.