RoseWabere/kijani_care_360

KijaniCare360 helps communities, NGOs and officials plan, plant and monitor trees across Kenya using data‑driven recommendations, regional analytics and an AI tree‑expert. Full‑stack app: React + Vite frontend, FastAPI backend, optional LangChain/Groq agents, Postgres/Redis and Docker deployment. # KijaniCare360 🌳 **Building a Greener Kenya, One Tree at a Time** A comprehensive tree conservation platform for Kenya featuring AI-powered tree expertise, community engagement, gamification, and real-time analytics. The platform combines modern web technologies with environmental science to promote sustainable forestry practices across Kenya. **Note** Click this link first and wait for the render service to wake before proceeding to KijaniCare360 ## Features ### Core Features - **Tree Planting Streaks** - Track and maintain tree planting/watering streaks - **AI Tree Expert** - LangChain + Groq powered chatbot for tree species advice - **Community Forum** - Discussions, topics, and knowledge sharing - **Analytics Dashboard** - Kenya forest coverage data and trends - **Smart Notifications** - Watering reminders and community updates ### Advanced Features - **Gamification System** - Achievements, points, and leaderboards - **Regional Recommendations** - Location-based tree species suggestions - **Environmental Impact** - CO2 absorption and oxygen production calculations - **User Growth Tracking** - Engagement metrics and community stats - **Multilingual Support** - English and Swahili content ### User Experience - **Modern React Frontend** - Responsive design with Tailwind CSS - **Real-time Updates** - Live notifications and data synchronization - **Interactive Charts** - Visual analytics with Chart.js - **Mobile Optimized** - Progressive Web App capabilities - **Smooth Animations** - Enhanced UX with Framer Motion ## Quick Start ### Prerequisites - **Backend:** Python 3.8+, PostgreSQL 12+, Redis - **Frontend:** Node.js 16+, npm/yarn ### Installation #### 1. Clone Repository ```bash git clone cd kijanicare360 ``` #### 2. Backend Setup ```bash cd kijani360_backend # Create virtual environment python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt # Database setup createdb k …