Automating planning with LLMs presents transformative opportunities for traditional industries, yet remains underexplored. In commercial construction, the complexity of automated scheduling often requires manual intervention to ensure precision. We propose CONSTRUCTA, a novel framework leveraging LLMs to optimize construction schedules in complex projects like semiconductor fabrication. CONSTRUCTA addresses key challenges by: (1) integrating construction-specific knowledge through static RAG; (2) employing context-sampling techniques inspired by architectural expertise to provide relevant input; and (3) deploying Construction DPO to align schedules with expert preferences using RLHF. Experiments on proprietary data demonstrate performance improvements of +42.3% in missing value prediction, +79.1% in dependency analysis, and +28.9% in automated planning compared to baseline methods, showcasing its potential to revolutionize construction workflows and inspire domain-specific LLM advancements.

Today, AI in construction industry has become a common tool for carrying out many construction activities. In addition, many big companies in the construction industry all across the globe are immensely adopting AI as it boasts a multitude of applications. AI has the ability to accurately evaluate the cost overrun of a project, on the basis of factors such as type of contract, size, and also the level of competence of the managers to risk moderation via self-driving machinery and equipment.

Today, AI in construction industry has become a common tool for carrying out many construction activities. In addition, many big companies in the construction industry all across the globe are immensely adopting AI as it boasts a multitude of applications. AI has the ability to accurately evaluate the cost overrun of a project, on the basis of factors such as type of contract, size, and also the level of competence of the managers to risk moderation via self-driving machinery and equipment.

Frequent tremors were felt in the National Capital Region (NCR), Haryana, Rajasthan, and other Northern states of India during April and May. While it stoked fears of a high-intensity earthquake, such tremors also underlined the importance of disaster-resilient constructions. Similarly, given the deteriorating air quality index in major cities of the country during the pre-Covid time, the need for environment-friendly constructions had become acute. However, far too little has been done to promote green constructions so far, though things are changing of late. Innovations led by various technological interventions are at the forefront of driving such sustainable solutions.