🚀 Building Krishi Voice AI – Empowering Farmers with Voice Technology 🌾
I’ve been working on Krishi Voice AI, a voice-powered assistant designed to make technology more accessible for farmers. The goal is simple: enable farmers to ask questions in their local language and get instant, useful answers—without needing to navigate complex apps or type queries.
🔧 What I built:
- Voice-based interaction system (speech-to-text + AI responses)
- Real-time answers for mandi prices, weather, and government schemes
- Simple, user-friendly interface focused on accessibility
💡 Tech Stack:
- Frontend: HTML, CSS, JavaScript
- Backend: Node.js
- AI/Voice: APIs for speech recognition + conversational AI (like ChatGPT)
⚡ Challenges I faced:
- Handling voice input accuracy in regional languages
- Designing a smooth and intuitive user experience
- Integrating real-time data with AI responses
🌱 Why this matters:
Farmers shouldn’t need technical knowledge to access important information. By using voice, we can bridge the gap between technology and rural users.
🔗 Next step: Integrating this with my Agri-Connect platform to create a complete farmer ecosystem (marketplace + AI assistant).
Would love feedback, ideas, or collaboration opportunities!
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