manel15279 / indoor-plants-recommendation-expert-system

An indoor plant recommendation system built using React.js and Node.js. The system leverages expert systems and multi-agent systems to provide personalized recommendations for indoor plants based on user preferences and environmental factors.

🌿 Indoor Plant Recommendation Expert System

Overview

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.

Features

• 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.