AI-Powered Voice Assistant for Farmers

This use case focuses on a multilingual AI voice assistant using Automatic Speech Recognition (ASR) to help farmers access weather updates, market prices, and government schemes in regional Indian languages, improving accessibility and decision-making.

Potential Use Cases:

1. Voice-Based Agricultural Advisory: Enables farmers to ask questions and receive AI-driven responses in their native language.
2. Real-Time Weather & Market Price Updates: Provides alerts on weather conditions and daily mandi (market) prices to aid decision-making.
3. Government Scheme Assistance: Helps farmers access subsidy programs, loans, and agricultural support initiatives.

Data Artifacts & Potential AI Solutions:

Input Data:

• Regional Language Voice Data: Voice datasets in Hindi, Marathi, Tamil, Telugu, Punjabi, and other Indian languages.
• Agricultural Knowledge Base: Crop advisory, government schemes, market prices, and pest control data.
• Weather & Market Price Feeds: Live updates on weather conditions and mandi rates.

Potential Outputs:

• AI-powered voice responses providing agricultural insights.
• Real-time text/audio updates on weather, market prices, and government schemes.
• Automated pest and disease identification through voice-based reports.

Potential Solutions:

• Automatic Speech Recognition (ASR) (Bhashini): Converts farmer queries into text.
• Natural Language Understanding (NLU): Extracts intent and retrieves relevant agricultural information.
• Text-to-Speech (TTS): Delivers responses in the farmer’s preferred regional language.

Potential Benefits:

1. Increases Accessibility: Enables non-literate farmers to access crucial agricultural information.
2. Improves Decision-Making: Helps farmers plan better with real-time weather and market updates.
3. Enhances Farmer Support: Simplifies access to government schemes and expert crop advice.