Revised Design Proposal

The original Interpretive Visitor Centre was redesigned using AI-assisted analysis and design exploration. The revised proposal improves environmental performance, sustainability, user comfort, and architectural identity while maintaining the original concept of education and public engagement.

Original Design

• Limited response to solar exposure.

• Basic environmental consideration.

• Minimal passive cooling strategies.

Revised Design

• Building orientation optimized based on sun path analysis.

• Enhanced shading on exposed facades.

• Improved response to prevailing wind directions.

• Better integration with landscape and outdoor spaces.

AI Contribution

ChatGPT climate analysis identified solar heat gain, rainfall intensity, and natural ventilation opportunities specific to Putrajaya.

Original Design

• Functional zoning.

• Clear circulation.

• Good visitor accessibility.

Revised Design

• Enhanced circulation routes.

• Improved indoor-outdoor connectivity.

• Better public gathering areas.

• Increased flexibility of exhibition spaces.

• More comfortable arrival experience.

AI Contribution

Claude identified opportunities to improve visitor movement and spatial experience.

Original Design

• Large glazed areas.

• Limited shading.

• Higher solar heat gain.

Revised Design

• Double-skin facade system.

• Geometric shading panels.

• Improved daylight control.

• Cross ventilation strategy.

• Reduced cooling demand.

AI Contribution

Gemini generated climate-responsive alternatives that were evaluated and combined into the final proposal.

The redesigned proposal incorporates:

• Green facade system.

• Green roof areas.

• Rainwater harvesting system.

• Natural ventilation.

• Daylight optimization.

• Permeable landscape surfaces.

• Native planting strategy.

These measures improve environmental performance while reducing long-term energy and water consumption.

The revised design enhances visitor comfort through:

• Better thermal comfort.

• Increased shaded outdoor areas.

• Improved visual connection to nature.

• More welcoming entrance sequence.

• Enhanced learning and social spaces.

The revised proposal demonstrates how AI-assisted workflows can support architectural design development. Through climate analysis, critical evaluation, and design exploration, the project evolved into a more sustainable, climate-responsive, and user-centered Interpretive Visitor Centre while maintaining professional architectural judgment throughout the decision-making process.