Adanced property design: AI Building designer

This project will be focusing on the real estate, help customers to design more beautiful and personal room styles. It's not only a generative image tool, but only an agent to design your real-estate.

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Inspiration

As a real estate agent, I've seen firsthand that visually stunning properties generate greater interest, higher engagement, and close deals faster. Yet, achieving that standout appeal typically requires costly professional designers—limiting accessibility for many listings. Inspired by this gap, we leveraged AI to democratize professional-level property design, empowering agents to significantly enhance their listings efficiently and affordably.

What it does

  1. User-Friendly Vision Input – Users select from intuitive templates or enter simple style keywords such as "modern," "cozy," or "luxury."

  2. AI-Enhanced Prompt Generation – Leveraging expert-trained large language models, our platform translates simple user inputs into optimized, detailed prompts tailored precisely for high-impact visual design.

  3. Hyper-Realistic AI Rendering – Employing cutting-edge generative AI technologies like Flux, HiDream, and GPT-4o, our solution produces visually compelling, hyper-realistic property staging aligned closely with current real estate trends and market demands.

How we built it

We utilized a sophisticated stack of generative AI models fine-tuned specifically for architectural design:

  1. LLM-Driven Architecture: Our AI system expertly translates stylized keyword inputs into precise, optimized text-to-image prompts.

  2. Advanced Models: Leveraged Flux models integrated with ControlNet and LoRA fine-tuning methods to ensure detailed, aesthetically appealing, and contextually accurate results.

  3. Bolt.new Platform: Fully powered by Bolt.new, enabling efficient development, deployment, and scalability of our advanced AI workflows.

Challenges we ran into

  1. Deployment issues.

During the initial phase, we adopted an open-source tech stack supported by the diffusers lib for all models. However, deployment encountered multiple challenges, with the primary issue being the excessively bulky structure.

To resolve this, we shifted our implementation strategy:

1.1 From full local development → to API-based calls.

1.2 Current focus: Optimizing the pipeline arrangement."

  1. Fine-tunning issues

We spent too much time to know how to design and write good agent prompts, multi-dimensions parameters setting and models control and arrangement.

Accomplishments that we're proud of

  1. Market Validation: Received enthusiastic, actionable feedback from early adopters, clearly demonstrating market fit and user willingness to adopt paid subscriptions.

  2. Seamless Integration: Successfully built, integrated, and rapidly deployed our solution within Bolt.new's ecosystem, highlighting robust technical execution.

  3. Innovative AI Applications: Effectively harnessed multiple advanced AI models to deliver superior visual experiences across diverse real estate content types, significantly elevating user engagement and market appeal.

What we learned

  1. Scalable Serverless Solutions: Mastered the efficient handling of computationally intensive AI tasks within a scalable serverless architecture, optimizing both performance and cost.

  2. Strategic Model Integration: Gained deep insights into effectively orchestrating multiple generative AI models into cohesive, seamless workflows that consistently deliver outstanding visual design outcomes.

  3. AI Code Agent Proficiency: Enhanced our technical capabilities by incorporating sophisticated code agents, substantially accelerating development timelines and improving overall app stability.

What's next for Adanced property design: AI Building designer

  1. Video Styling Feature: Expand capabilities to support dynamic styling of user-uploaded short videos, further enriching visual content options and user engagement.

  2. Comprehensive Monetization Strategy: Implement a robust, scalable subscription model supported by comprehensive pricing and refined business logic, targeting rapid commercial growth.

  3. Image-to-Image (I2I) Enhancement: Develop advanced image-to-image transformation features to further refine and personalize property visuals, elevating the overall user experience and market competitiveness.

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