International Journal of Agriculture Extension and Social Development

author(s)
Y Angel, P Ajay Kumar Reddy, KVamsi, B Lalithaditya Reddy, B Karthik Kumar and M Pavan Kumar

abstract
Indoor plants enhance aesthetics, improve air quality, and create a healthier living environment. However, selecting the right plant for a specific indoor space can be challenging due to factors like lighting conditions, humidity, and maintenance requirements. This paper presents an Indoor Plant Recommendation Application designed to help users choose suitable plants based on room type, environmental conditions, and personal preferences. The system uses a rule-based recommendation approach, considering parameters such as light availability, air purification benefits, and ease of care. The application aims to simplify plant selection for users by providing personalized suggestions, improving both the usability and effectiveness of indoor gardening. Future enhancements may include AI-driven recommendations and real- time plant health monitoring.