The first AI-powered Telegram Mini App that aligns your harvest plan with Agrobank’s credit requirements.
See How It WorksAgriculture consumes 90% of Uzbekistan's fresh water, yet nearly 50% is lost due to inefficient irrigation methods (Source: UN/World Bank).
Farmers struggle to calculate ROI and fear loans. Banks want to issue "Green Loans" but struggle to assess risk.
Low adoption of modern farming techniques and high financial stress for small farmers.
A "Pocket Financial & Agronomic Advisor" living inside Telegram.
Share location via Telegram. We instantly detect region, soil type, and weather data.
Select your crop (e.g., "Cotton") and technology (e.g., "Drip Irrigation").
We calculate expected yield increase, water savings, and ROI.
Auto-generate a cash-flow calendar and fill an Agrobank loan application.
Team Lead & Senior Full Stack AI Agents
7 years exp, product owner. Expert in building scalable AI-driven solutions.
Full-Stack Developer
Strong experience in modern frontend frameworks and system-level backend development. Focused on clean architecture, performance, and building reliable, production-ready solutions.
Frontend: TWA + React
Native API + OpenWeather
FastAPI + PostgreSQL
Yield Prediction (Scikit-learn)
Loan Application
Telegram Web Apps (TWA) script, React.js / Vue.js, TailwindCSS.
Python (FastAPI) for high-performance async calculations.
PostgreSQL (with PostGIS for soil data mapping).
Yield Prediction: Scikit-learn (Random Forest). Chatbot: LLM with Uzbek language support.
OpenWeatherMap, FAO Soil Grids, Agrobank Open API (mockup).
UI Mockups & Logic Design. Idea Validation & UI/UX Architecture.
Backend API for "Crop Calculator" & Telegram Bot setup.
Integrating OpenWeather API & Testing with local farmers.
Pilot launch in one district to test the "Yield-to-Credit" scoring model.