Plant Power: AI to Supercharge Indoor Plant Care for Happier Spaces

inAI & Emerging Technologies

Background

This project introduces students to artificial intelligence (AI), data science, and environmental monitoring by tackling a real-world problem that impacts health and sustainability. The goal is to explore how various indoor plant species can improve air quality under different conditions, such as light and humidity. Students will build an AI model that predicts the best plant choices to optimize indoor air quality, enhancing spaces where people live, learn, or work.

Learning Outcome (LO)

  • LO #1: Fundamentals of AI in Environmental Science 
     Understand the application of AI in analysing environmental data, specifically for air quality improvement, and explore how AI-driven insights can inform sustainable solutions.
  • LO #2: Indoor Air Quality and Plant Science 
     Learn the factors influencing indoor air quality, such as volatile organic compounds (VOCs), CO₂ levels, and humidity, along with the role of specific plants known for air-purifying properties.
  • LO #3: Data Science and AI Modeling Skills 
     Gain hands-on experience in data collection, data preprocessing, and applying supervised learning models to predict air quality improvements based on environmental conditions and plant species.

What is on offer?

  • 1-on-1 sessions with Ph.D. Scholars
  • Supervision and Guidance from Global Faculty
  • Assistance in Publishing Research
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