Llama Impact Hackathon

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AI bot finds & delivers Indian farm schemes via Telegram in local languages & helps fill app forms

Farmipole

Vikranth Kanumuru


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.

Uses agents to find scattered schemes for farmers in India, integrates with telegram to get these schemes to those people who actually need them using regional language and fills out the forms required as well to submit them

"Farmipole team on Llama Impact Hackathon Hackathon"

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