International Journal of Scientific Research and Engineering Development

The non-expert users may have difficulties balancing cost, climatic suitability, terrain limitations, and environmental footprint when constructing a sustainable home. This paper presents Green Home Planner, an AI-based recommendation system that generates cost-effective and green plans to build a residential building. The system uses machine learning regression model to predict the cost of construction using user inputs such as built-up area, floors, budget, climate, terrain, and priority. The feasibility is checked using rule based checks. It also has a sustainability score due to material and system choices to be included with the detailed recommendations and cost breakdowns pertaining to making informed decisions.

B. Swaroopa Rani, ANV Anoushkha, CH. Bala Sri Bhavya, A. Sai Pranav Kumar,"AI-Powered Green Home Planner: An easy approach to Sustainable Homes" International Journal of Scientific Research and Engineering Development, V9(3): Page(2128-2133) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.