The problem Smart Decor-housing design consultant solves

The problem that AI degenerated housing design solves is the inefficient and time-consuming process of traditional housing design. AI-generated housing designs can quickly and accurately create multiple design options based on the desired specifications and constraints, such as the available land area, budget, and building codes. This enables architects and builders to optimize the design process and create more affordable, sustainable, and functional housing options that meet the needs and preferences of the residents. Additionally, AI-generated designs can also incorporate data-driven insights and predictions about user behavior, energy consumption, and environmental impact, resulting in more efficient and sustainable housing solutions

Challenges we ran into

User acceptance: AI-generated designs may be unfamiliar or unexpected to users, which could lead to resistance or reluctance to adopt them. Addressing user concerns and building trust in AI-generated housing design will be critical to its success.
Bias and fairness: AI systems can perpetuate and amplify existing biases and inequalities, especially if the data used to train them is biased or incomplete. Ensuring fairness and equity in AI-generated housing design requires careful attention to data collection, algorithm development, and testing.