This project implements an indoor plant recommendation expert system using a combination of expert systems and multi-agent systems. The system aims to assist users in selecting ideal indoor plants based on their preferences and indoor environment. It employs inference and forward chaining algorithms for decision-making. The system is developed using Node.js for the backend and React.js with Bootstrap for the frontend.
- Utilizes expert knowledge to recommend indoor plants.
- Considers user preferences, indoor environment conditions, and plant characteristics (Brightness, Temperature, Humidity, Ease of care, Toxicity, Watering, Lighting).
- Implements inference and forward chaining algorithms for decision-making.