AgroVoice

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  AgroVoice — AI-powered agricultural platform connecting farmers directly to buyers in Azerbaijan

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  AgroVoice platform landing page featuring voice AI support, spot market, and contract farming models.

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  Key challenges faced by local farmers: high middleman commissions, price unpredictability, and lack of contracts.

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  AgroVoice core mechanisms: Spot Market, Contract Model, and Gemini-powered Voice AI Advisor for Azerbaijani farmers.

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  Tech stack overview: React Native UI, Supabase backend, Gemini AI Engine, and Escrow-secured payment system.

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  5 simple steps from registration and product listing to contract signing, Escrow payment, and secure payout.

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  Azerbaijan agritech market potential: $2.8B production value, 600K+ farmers, and 76% smartphone penetration.

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  AgroVoice leadership — founded by Sehranə Kazımlı in Baku, Azerbaijan, bringing agritech into the digital future.

Inspiration

In many developing agricultural markets, smallholder farmers lose up to 60% of their potential income to middlemen and lack access to real-time market pricing. We built AgroVoice to eliminate market opacity, empower farmers with voice-driven AI, and provide a direct B2B pipeline to wholesale buyers.

What it does

AgroVoice is a voice-first B2B agricultural ecosystem that connects farmers directly with commercial buyers.

• Voice-First AI Assistant: Farmers can speak naturally in their native language to check real-time market rates and post crop listings.
• Smart Price Prediction Engine: Analyzes historical supply/demand metrics to predict fair market prices for agricultural products.
• Direct B2B Marketplace: Bypasses predatory intermediaries by establishing direct connections between producers and buyers.

How we built it

• Google Gemini API: Serves as the core intelligence engine. We leverage Gemini's multimodal capabilities for voice intent recognition, natural language processing of local dialects, and dynamic price analysis.
• Backend: Python and Node.js managing core market metrics and business logic.
• Frontend: Mobile interface focused on voice accessibility for local producers.

Challenges we ran into

Handling regional agricultural terminology and local voice inputs was a key challenge. We addressed this by fine-tuning prompts and contextualizing localized data schemas through the Google Gemini API.

Accomplishments that we're proud of

Building a functional prototype that converts complex pricing data into an intuitive, voice-guided assistant accessible to local producers.

What we learned

Leveraging the Google Gemini API for localized social impact demonstrates how accessible AI can drive real economic efficiency for smallholder agricultural communities.

What's next for AgroVoice

• Expanding local dialect recognition across broader agricultural regions.
• Integrating secure escrow transactions and logistics tracking for B2B buyers.

Built With

• agtech
• ai
• google-gemini
• machine-learning
• python
• react-native
• voice-ai