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AI Drafter

Generate professional replies to Show Cause Notices, assessment orders, audit objections, and other legal communications using TaxTMI's AI Drafter.

Step 1 – Issue Identification & Review

The AI analyses your query, notice, order, or uploaded documents and identifies the key issues involved.

• Review the issues identified by the AI
• Add, edit, remove, or refine issues as required


Step 2 – Draft Generation

Once you approve the issues, the AI performs issue-wise legal research and prepares a structured draft response.

• Relevant statutory provisions
• Judicial precedents and Supreme Court, High Court and other citations
• Issue-wise legal analysis
• Practical arguments and supporting content
• Professionally structured draft ready for further review.

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        Case ID :

        Bihar partners with IIT Delhi to build AI-driven bridge, road design expertise

        August 15, 2025

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        New Delhi, Aug 15 (PTI) In a bid to improve public infrastructure, Bihar's Road Construction Department has tied up with the Indian Institute of Technology (IIT) Delhi to launch an advanced certification programme for its engineers in AI-powered bridge management and real-time structural health monitoring.

        This comes in the wake of a series of incidents of under-construction and existing bridge collapses in the state. Interestingly, a dozen bridges collapsed in a short span of 15 days during the monsoon last year.

        The six-month programme, beginning September 2025, is a core component of the Bihar State Bridge Management & Maintenance Policy, 2025, India's first state-level policy dedicated to systematic bridge upkeep.

        Approved by the Cabinet recently, the policy seeks to build indigenous technical capacity, cut dependence on external consultants and ensure long-term safety and sustainability of bridge infrastructure, Bihar Minister of Road Construction Nitin Nabin told PTI.

        Under the programme, over 100 state government engineers will be trained in AI/ML-based analysis of drone and sensor data to compute Bridge Health Index (BHI) scores, implement real-time monitoring systems using strain gauges and tilt meters on critical bridges, and apply algorithm-driven Maintenance Priority Index (MPI) models for efficient resource planning.

        All inspection data and BHI scores will be made publicly accessible through the Bridge Information and Management System (BIMS) portal to ensure transparency, he said, adding that the Bihar State Bridge Management & Maintenance Policy, 2025, mandates drone usage for assessing the structural health of all state-maintained bridges.

        This includes using drones equipped with high-resolution cameras and thermal imaging to detect defects like cracks and corrosion. The data collected will be analysed by AI algorithms for accurate and efficient assessment.

        "The future of infrastructure lies in technology and self-reliance. This training will enable our engineers to independently manage all state bridges using cutting-edge AI tools. By 2026, our goal is to conduct 100 per cent of routine inspections internally and design all bridges under 250 metres without external support," he said.

        This is a cornerstone of our mission for self-reliant, tech-driven public infrastructure governance, he added.

        The modern tool would gradually replace traditional manual inspections with advanced aerial assessments across the state's 3,968 bridges, prioritising 45 high-risk structures identified in third-party audits by IIT Patna and IIT Delhi. PTI DP BAL BAL

        Bridge monitoring mandate expands transparency and AI-driven inspections, requiring public reporting and drone-based structural assessments. The policy mandates training state engineers in AI/ML analysis of drone and sensor data, deployment of real-time monitoring with strain gauges and tilt meters, computation of Bridge Health Index scores, and application of algorithmic Maintenance Priority Index models. It requires drone-based assessments and public disclosure of inspection data and BHI scores through the Bridge Information and Management System portal, aims to reduce reliance on external consultants, and prioritises targeted monitoring of high-risk structures to strengthen safety and sustainability of bridge infrastructure.
                          Cases where this provision is explicitly mentioned in the judgment/order text; may not be exhaustive. To view the complete list of cases mentioning this section, Click here.
                            Provisions expressly mentioned in the judgment/order text.

                                Bridge monitoring mandate expands transparency and AI-driven inspections, requiring public reporting and drone-based structural assessments.

                                The policy mandates training state engineers in AI/ML analysis of drone and sensor data, deployment of real-time monitoring with strain gauges and tilt meters, computation of Bridge Health Index scores, and application of algorithmic Maintenance Priority Index models. It requires drone-based assessments and public disclosure of inspection data and BHI scores through the Bridge Information and Management System portal, aims to reduce reliance on external consultants, and prioritises targeted monitoring of high-risk structures to strengthen safety and sustainability of bridge infrastructure.





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