System Requirements Document (SRD) for hyper-farmers

1. Introduction

The hyper-farmers project aims to empower small and medium dairy farmers in India, particularly in Maharashtra, by providing an AI-powered mobile application to manage cattle, track milk production, diagnose cattle diseases, and more. The app will initially launch in Marathi to cater to the local audience, with scalable support for English and Hindi in future updates. This document outlines the system requirements for building a production-ready mobile app startup.

2. System Overview

The hyper-farmers app will serve as a comprehensive AI-powered dairy assistant for farmers. It will provide tools to manage cattle records, track milk production and income, diagnose cattle diseases using AI, and receive veterinary advice. The app will also include vaccination reminders and offline data storage to ensure usability in rural areas with limited internet connectivity.

The system architecture will follow this flow:

• Mobile App: Built using React Native for cross-platform compatibility.
• Backend API: Developed with Python and FastAPI for scalable and efficient data handling.
• Database: MySQL for structured data storage and Alembic for migrations.
• AI Engine: GPT 5.4 for user-friendly responses and Google Nano Banana for image generation.
• Hosting: Docker and Kubernetes for local and server-side orchestration.

3. Functional Requirements

• As a Farmer, I should be able to log in to the app in Marathi.
• As a Farmer, I should be able to manage cattle records (e.g., add, edit, delete cattle details).
• As a Farmer, I should be able to log daily milk production.
• As a Farmer, I should be able to diagnose cattle diseases using AI by uploading symptoms or images.
• As a Farmer, I should receive vaccination reminders for my cattle.
• As a Farmer, I should be able to track my milk income.
• As a Farmer, I should be able to use the app offline and sync data when online.
• As a Farmer, I should be able to switch to English or Hindi in future updates.

4. User Personas

4.1 Farmer

• Description: Small and medium dairy farmers in Maharashtra.
• Goals: Manage cattle, track milk production, diagnose diseases, and improve dairy operations.
• Pain Points: Lack of access to veterinary services, difficulty in record-keeping, and limited internet connectivity.

4.2 Admin

• Description: App administrators managing user accounts, content, and system performance.
• Goals: Ensure smooth app operations, manage user data, and monitor AI performance.

5. Visuals Colors and Theme

Unique Color Palette for hyper-farmers:

• Background: #F7F4E9 (soft cream for a rural, earthy feel)
• Surface: #FFFFFF (clean white for clarity)
• Text: #4A4A4A (dark gray for readability)
• Accent: #FFB400 (bright yellow for optimism and energy)
• Muted Tones: #A3A3A3 (light gray for secondary elements)

This palette reflects a farmer-friendly, approachable design while maintaining a professional and modern look.

6. Signature Design Concept

Interactive Village Map Homepage

The homepage will feature an animated 3D village map that represents a typical dairy farming community. Each section of the app will be visually represented as a building or area on the map:

• Cattle Management: A barn with animated cows.
• Milk Logging: A milk collection center with milk cans.
• AI Diagnosis: A veterinary clinic with a glowing AI symbol.
• Income Tracker: A small bank with coins stacking up.
• Vaccination Reminders: A pharmacy with a blinking reminder icon.

Interactions:

• Users can tap on buildings to access specific features.
• Subtle animations like moving cows, flowing milk, and blinking icons will make the interface lively.
• The map will have a Marathi village aesthetic with earthy tones and traditional elements.

This design will make the app instantly engaging and relatable for farmers while providing a clear and intuitive navigation system.

7. Non-Functional Requirements

• Performance: The app should load within 2 seconds on 3G networks.
• Scalability: Support up to 10,000 concurrent users in the first year.
• Security: Implement secure authentication and data encryption.
• Localization: Fully support Marathi language with scalable architecture for adding English and Hindi.
• Offline Capability: Ensure seamless offline functionality with data sync when online.

8. Tech Stack

Frontend

• React Native for mobile app development.

Backend

• Python with FastAPI for API development.

Database

• MySQL with Alembic for migrations.

AI Models

• GPT 5.4 for user-friendly responses.
• Google Nano Banana for image generation.

AI Tools

• Langchain for AI workflow orchestration.
• Litellm for LLM routing.

Local Orchestration

• Docker and docker-compose.

Server-Side Orchestration

• Kubernetes for scalable deployment.

9. Assumptions and Constraints

• The app will initially target Marathi-speaking farmers in Maharashtra.
• Internet connectivity in rural areas may be limited; offline functionality is critical.
• The AI diagnosis feature will rely on cloud-based models, requiring periodic internet access.
• Multi-language support will be implemented in phases, starting with Marathi.

10. Glossary

• AI (Artificial Intelligence): Technology enabling the app to diagnose cattle diseases based on input data.
• MVP (Minimum Viable Product): The initial version of the app with core features.
• i18n (Internationalization): A framework for supporting multiple languages.
• FastAPI: A modern web framework for building APIs with Python.
• Alembic: A database migration tool for Python.
• Docker: A tool for containerizing applications for consistent deployment.
• Kubernetes: A system for automating deployment, scaling, and management of containerized applications.