Our client is building a tool for agriculture helplines to understand conversations between farmers and agents. This tool will identify crop names, specific issues, and suggested solutions to improve communication and support.

The Challenge

Ensuring accurate transcription, especially with regional accents and background noise. Developing a robust system for recognizing different agricultural terms and entities in various linguistic contexts. Teaching the model to understand nuanced language and identify specific solutions proposed by farmers and tele-agents.

The Solution

We have trained 50 Hindi speakers to transcribe and recognize agriculture-related terms. Using advanced tools for accurate understanding of spoken words. Improving the model's skill in identifying agricultural terms across different languages.