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Farah-Abdirahman/smartfeed-ai

Domain:

agriculture

Record type:

software
Creator:
Far
Host:
AI-powered livestock nutrition optimization for African farmers # Smart Feed AI System **AI-Powered Livestock Nutrition Optimization for African Farmers** ## 🎯 Project Overview Smart Feed AI System helps African farmers optimize livestock nutrition using machine learning algorithms. The system analyzes animal data and provides personalized feed recommendations that: - **Increase productivity by +30%** - **Reduce feed costs by -20%** - **Deliver recommendations via SMS in local languages** - **Support multiple animal types (dairy cows, beef cattle, goats)** ### 🌍 Problem Statement - Farmers lose **$2.8B annually** from poor feeding decisions - Feed costs = **70% of livestock expenses** - **40M+ African farmers** lack feeding optimization tools ### πŸ’‘ Solution AI system that tells farmers exactly **what, when, and how much** to feed their animals through: - Machine learning-based feed optimization - SMS delivery in English and Swahili - Cost-effective recommendations using local feed sources - Seasonal and regional price optimization ## πŸš€ Key Features ### 🧠 AI/ML Engine - **Gradient Boosting** for productivity prediction - **Random Forest** for cost optimization - **Multi-animal support**: Dairy cows, beef cattle, goats, sheep - **Seasonal adjustments** for feed pricing and availability - **Regional optimization** for local feed sources ### πŸ“± SMS Integration - **Twilio-powered** SMS delivery - **Multilingual support** (English & Swahili) - **Personalized recommendations** with farmer names - **Weather and price alerts** ### 🌐 RESTful API - **FastAPI-based** web service - **Real-time optimization** endpoints - **Bulk farmer processing** - **Analytics and reporting** ### πŸ“Š Data Management - **SQLAlchemy** database models - **Farmer and animal profiles** - **Optimization history tracking** - **Performance analytics** ## πŸ› οΈ Installation & Setup ### Prerequisites - Python 3.8+ - pip package manager ### 1. Clone and Setup ```bash # Navigate to project directory cd smartfarm # Install dependencies pip install -r requ …

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