Crane-AI-Labs/ganda-gemma-2g-platform

# Ganda-Gemma 2G Platform A comprehensive 2G AI platform that brings artificial intelligence to rural African communities through basic mobile phones. The solution leverages the ganda-gemma model to provide agricultural, health, and education services via USSD, SMS, and WhatsApp channels using Africa's Talking APIs. ## Features - **Multi-Channel Access**: USSD (*123#), SMS, and WhatsApp support - **AI-Powered Responses**: Integration with ganda-gemma model for Luganda/English responses - **Domain Expertise**: Specialized services for agriculture, health, and education - **2G Optimized**: Designed for low-bandwidth, unreliable networks - **Session Management**: Redis-based session handling for conversation continuity - **Analytics**: Usage tracking and performance monitoring ## Architecture ``` User Layer (2G Phones) → Africa's Talking APIs → Flask Application → AI Services ↓ Session Management (Redis) ↓ Domain Services (Agriculture/Health/Education) ``` ## Quick Start ### Prerequisites - Python 3.9+ - Redis server - Africa's Talking account - Ganda-Gemma API access ### Installation 1. Clone the repository: ```bash git clone cd ganda-gemma-2g-platform ``` 2. Create virtual environment: ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. Install dependencies: ```bash pip install -r requirements.txt ``` 4. Configure environment: ```bash cp .env.example .env # Edit .env with your API keys and configuration ``` 5. Start Redis (required for session management): ```bash redis-server ``` 6. Run the application: ```bash python main.py ``` The application will start on `localhost` ## Ollama and Ganda-Gemma Model Setup ### Enhanced, Repeatable Guide to Downloading and Setting Up the Ganda-Gemma Model Based on successful implementation steps, this guide provides detailed, self-contained instructions for setting up the Ganda-Gemma model with Ollama. This version includes clear explanations, prerequisites …