InfraDocT — AI-Powered Structural Assessment

Assessment Modules

Condition Assessment of Concrete Buildings

End-to-end 9-step concrete condition workflow — visual inspection, zoning, NDT planning with ACI statistical sampling, AI analysis, and repair BOQ generation.

Grid-based structural layout planner
Visual distress mapping with AI image analysis
NDT planning per ACI PRC-ITG-11-24
IS 456 / IS 13311 code references
AI-generated inspection report
Repair recommendations and BOQ

Active

🌉

Bridge Condition Assessment

AI-powered bridge visual inspection for concrete, steel, and mixed construction. Detects defects on piers, abutments, bearings, girders, and deck per IRC codes.

Multi-material: concrete, steel, mixed
Bridge component identification
Severity grading per IRC:SP:35
Damage visualization diagram

Coming Soon

🔩

Steel Structure Assessment

AI-powered defect detection for steel frames, bridges, towers and tanks. Corrosion, fatigue cracks, weld defects, and connection failures.

Steel defect taxonomy
Severity grading
Annotated imagery
PDF assessment report

Coming Soon

About InfraDocT

InfraDocT is a professional platform for structural condition assessment, built by engineers for engineers. Our tools combine AI-powered image analysis with codified structural assessment workflows to help you conduct thorough, standards-compliant inspections — from visual survey through NDT planning to repair recommendations.

Designed for Indian standards (IS 456, IS 13311, ACI PRC-ITG-11-24).

About the Team

Prof. Umesh Kumar Sharma

Professor (HAG Scale)

Civil Engineering, IIT Roorkee

Specialist in repair and retrofitting of structures, fire engineering, and corrosion effects on reinforced concrete. 96+ journal publications with 17 PhD scholars.

Prof. Dipti Ranjan Sahoo

Professor & Dean (Infrastructure)

Civil Engineering, IIT Delhi

Expert in earthquake-resistant design, hybrid simulation, passive vibration control, and structural fire engineering. 250+ research articles with 5 patents.

Dr. Sujith Mangalathu

VAJRA Fellow

NIT Calicut

AI and machine learning for structural engineering, seismic risk assessment, and infrastructure resilience. Lead developer of AI-powered assessment tools.

Dr. Robin Davis

Assistant Professor

NIT Calicut

Structural health monitoring, damage detection, and condition assessment of reinforced concrete structures using advanced sensing technologies.

Dr. P. C. Ashwin Kumar

Assistant Professor

NIT Calicut

Structural assessment, retrofitting strategies, and computational modeling for condition evaluation of aging infrastructure.

Dr. Muhamed Safeer Pandikkadavath

Assistant Professor

NIT Calicut

Seismic performance evaluation, nonlinear analysis, and vulnerability assessment of reinforced concrete structures.