AI Based Interior Designing App

1. Li, S. (2019). Study on Intelligent Furniture in Living Smart Home System. JUSHE, 34, 21+26. Explores the role of intelligent
furniture in smart home systems, providing context for integrating AI with furniture design.
2. Cai, Y., & Xie, X. (2020). Research on Modern Interior Design under the Influence of Environmental Psychology. JUSHE, 04, 16.
Investigates how environmental psychology impacts interior design, which can inform user-centered design recommendations in Asystems.
3. Deng, Q., & Jin, D. (2019). Research on Smart Home System – Taking Wardrobe Storage as an Example. Home Drama, 17, 209-
210. Discusses smart home systems with a focus on storage solutions, relevant for understanding how AI can optimize space and
functionality in interior design.
4. Chen, Y., Zhou, S., & Ai, J. (2016). Design and Research of Intelligent Furniture Based on User Experience. CNKI. Examines user
experience in intelligent furniture design, useful for enhancing the user interface and experience of the AI app.
5. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. A foundational text on deep learning techniques,
including those used in CNNs and GANs, applicable to AI-based interior design.
6. TensorFlow Documentation. (n.d.). Retrieved from https://www.tensorflow.org/ Official documentation for TensorFlow, a key
library used for building and training machine learning models.
7. PyTorch Documentation. (n.d.). Retrieved from https://pytorch.org/ Provides resources for PyTorch, another popular library for
machine learning and neural.
8. Ian, J., & Siddiqui, H. (2018). Machine Learning Yearning. Self-published. Provides insights into machine learning strategies and
best practices, useful for developing and refining AI models for interior design.
9. Gartner. (2023). Magic Quadrant for AI in Customer Service. Gartner Research. Offers insights into the latest trends and
technologies in AI, including applications relevant to interior design and customer interaction.
10. Forrester. (2023). The Future of AI-Driven Design. Forrester Research. Discusses emerging trends and future directions for AI in
design, providing context for advancements in AI-based interior design applications.
11. Hershey, J., & Tannenbaum, M. (2023). How AI is Transforming Interior Design. Design Tech Weekly.
12. EBrown, A. (2024). Advances in Generative Design for Interior Spaces. Architectural Digest. Covers the latest advancements in
generative design algorithms, including GANs, and their applications in interior design.
13. OpenCV Documentation. (n.d.). Retrieved from https://opencv.org/ Documentation for OpenCV, a library used for computer vision
tasks such as image segmentation and feature extraction.