AI-Powered Predictive Analytics for Climate-Aware Flood and Mobile Home Insurance Risk Management
DOI:
https://doi.org/10.15662/IJARCST.2026.0903006Keywords:
Predictive analytics, climate risk, mobile homes, flood risk, dynamic pricing, risk management, exposureAbstract
Fulfilling a growing need for climate-aware flood risk management of mobile-home insurance portfolios, this research develops AI-powered predictive analytics that quantify risk and associated capital requirements over time. A comprehensive data analysis prepares a rich database integrating historical claims, exposure characteristics, data records of climate drivers, and additional geospatial, socioeconomic, and business-climate indicators. Using proven methodologies of statistical modeling and machine learning, climate-risk patterns across flood frequency, intensity, and inundation depth are interpreted. Predictive outputs are successively integrated into risk pricing and capital models, stimulating innovations in dynamic risk appetite adaptation, product design, geographical concentration, and operational decision-making. Role players are equipped to monitor evolving tail-risk exposures and arrive at well-grounded, real-time choices.
Market forces are pressuring insurers to better serve and support selected vulnerable customer segments, particularly mobile-home communities that routinely live under very high concentrations of climate Risk for flood peril, especially in view of changing climatic trajectories. Climate risk landscapes are being reshaped by factors such as increasing precipitation, longer monsoon seasons, and eventually increasing draughts, all of which differ by region and country. Consequently, demand government and social attention on the part of both regulators and portfolio holders. These growing anxiety are leading role-players to call for comprehensive approaches that enable proactive real-time pricing and service decisions adapted to the fortuitous and/or stress-test-data flow.
References
1. Rathor, K., Meda, R., Agnihotri, K., Sinha, P. K., Mandal, P., & Gulati, M. (2025). Detecting and Interpreting Financial Statement Fraud via Supply Chain-Based Graph Neural Network Models. In 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT) (pp. 1–5). IEEE. 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT). https://doi.org/10.1109/iconat66879.2025.11362543
2. Loganathan, R. (2024). GENERATIVE AI-ENABLED COMPLIANCE DOCUMENTATION AND AUDIT TRAIL AUTOMATION FOR GLOBAL DATA CENTER GOVERNANCE. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 15(3), 487–504. https://doi.org/10.61841/turcomat.v15i3.15512
3. Mangala, N. (2026). Responsible AI Data Architecture: Embedding GDPR and PII Compliance into MLOps Pipelines at Enterprise Scale. Canadian Journal of Marketing Research, 16(1), 107-124.
4. Krishnan, M., Aitha, A. R., Amistapuram, K., Nandan, B. P., Kaulwar, P. K., & Singireddy, J. (2025). Human-in-the-Loop Hybrid Neuro-Symbolic AI Model for Reliable Data Engineering in High-Stakes Industrial Systems. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1–7). IEEE. 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN). https://doi.org/10.1109/gcwcn66157.2025.11448516
5. Nuka, S. T., Chakilam, C., Chava, K., Suura, S. R., & Recharla, M. (2025). AI-driven drug discovery: transforming neurological and neurodegenerative disease treatment through bioinformatics and genomic research. American Journal of Psychiatric Rehabilitation, 28(1), 124-135.
6. Paleti, S., Kummari, D. N., Garapati, R. S., Sheelam, G. K., Adusupalli, B., & Singireddy, J. (2025, December). Building a Cyber-Resilient Payment Infrastructure: Transforming Payment Security with Zero Trust Architecture. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-7). IEEE.
7. Alshar, M. M., Shahdadpuri, N., Rajeshwari, M., Gupta, M., Joshi, N. R., & Singireddy, J. (2025). Enhanced Management & Performance of Remote Workforce with Cloud and AI-Driven HR Analytics. In 2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) (pp. 631–636). IEEE. 2025 3rd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). https://doi.org/10.1109/icaiccit68829.2025.11434104
8. Annapareddy, V. N., Singireddy, J., Preethish Nandan, B., Lakarasu, P., & Burugulla, J. K. R. (2025). Emotional intelligence in artificial agents: Leveraging deep multimodal big data for contextual social interaction and adaptive behavioral modelling. Available at SSRN 5241039.
9. Pandiri, L. (2025). The Complete Compendium of Digital Insurance Solutions: Life, Health, Auto, Property, and Specialized Coverage in the Age of AI, Automation, and Intelligent Risk Management. Deep Science Publishing.
10. Krishnaprasath, V. T., Pamisetty, V., Sharma, V., Nayak, M., Baalakumar, N. N., & Aravindh, S. (2025, May). Federated learning based artificial intelligence systems with blockchain security for global healthcare collaboration and patient centric data privacy. In International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) (pp. 1277-1290). Atlantis Press.
11. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287–2309. Retrieved from https://www.jneonatalsurg.com/index.php/jns/article/view/10223
12. Ranjith Kumar Peddi. (2024). AI-Based Workforce Analytics for SLA Governance and Uptime Assurance in Data Centers. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8589–8601. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5361
13. Rani, P. S., Amistapuram, K., Pamisetty, V., Singireddy, S., Kummari, D. N., & Sheelam, G. K. (2025, November). Hybrid Knowledge Graph–Deep Learning Framework for Automated Exception Handling and Investigation in Complex Insurance Claims. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-6). IEEE.
14. Mangalampalli, B. M. (2024). AI-Enhanced Data Governance: Automating Compliance In Healthcare Analytics Platforms. The Review of Diabetic Studies, 191-204.
15. Kolla, T. (2025). The Future of Healthcare Analytics: Leveraging AI and Data Engineering for Personalized Medicine. Journal of Computer Science and Technology Studies, 7(4), 634-640.
16. Yandamuri, U. S. (2026). AI-Enabled Workflow Automation and Predictive Analytics for Enterprise Operations Management. Management, 3(1), 15-24.
17. Pote¹, X. R., Pamisetty, A., Karthikeyan, G., & Gupta¹, D. (2025, May). Artificial Intelligence Enabled Smart Energy Conservation Systems for Intelligent Resource Management and Sustainable Future Power Grids. In Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 24) (p. 196). Springer Nature.
18. Enterprise-Scale Gen AI Orchestration Using Small LMs and LLM Agents for Intelligent ITSM and HRSD Automation in Enterprise Ecosystems. (2025). MSW Management Journal, 35(2), 1889-1897.
19. Shah, M. M., & Kolla, S. H. (2026). Harvest Net: An AI-Powered Adaptive System for Yield Prediction and Resource Optimization in Agriculture. Canadian Journal of Marketing Research, 16(2), 181-196.
20. Nagubandi, A. R. (2025). Cryptocurrency Market Spillovers: Risk Contagion Across Global Financial Systems.
21. Pamisetty, A., Paleti, S., Adusupalli, B., Singireddy, J., Inala, R., & Nagabhyru, K. C. (2025, September). Explainable AI Systems for Credit Scoring and Loan Risk Assessment in Digital Banking Platforms. In 2025 IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (pp. 1478-1483). IEEE.
22. Kolla, S. K. (2026). Foundation Deep Learning Models For Precision Medicine Using Multimodal Big Data. INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES.
23. Bhasgi, S. S., Garapati, R. S., B, Ayshwarya., Sasikala, M., & J, Srinivasan. (2025). Medical Image Fusion of Magnetic Resonance Imaging and Computed Tomography Using Learned Wavelet Complex Adapter. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1–6). IEEE. 2025 International Conference on Communication, Computer, and Information Technology (IC3IT). https://doi.org/10.1109/ic3it66137.2025.11340892
24. Bandi, V. D. V. K. Autonomous Data Platforms: Converging AI, MLOps, and Cloud Engineering for Digital.
25. Ramana, B., Sheelam, G. K., Pandya, T., Rai, A. K., Kumar, V. A., & Kukreti, A. (2025). Exploring the Potential of NOMA in 6G Through Comparative Analysis with OMA Techniques. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1–6). IEEE. 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG). https://doi.org/10.1109/ictbig68706.2025.11323270
26. Davuluri, P. N. Autonomous Compliance Systems: AI, Event Streaming, and the Future of Financial Crime Prevention.
27. Amistapuram, K. (2025). GENERATIVE AI FOR CLAIMS EXCEPTIONS AND INVESTIGATIONS: ENHANCING RESOLUTION EFFICIENCY IN COMPLEX INSURANCE PROCESSES. Available at SSRN 5785482.
28. Chary, D. V., Meda, R., C, J. S. Mary., Narasimhachari, J. P., & A S, Y. (2025). TriFusionFormer: Tri-Modal Fusion Transformer Using Gated Modality Control and Multi-Scale Attention for Emotion Recognition. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1–8). IEEE. 2025 International Conference on Communication, Computer, and Information Technology (IC3IT). https://doi.org/10.1109/ic3it66137.2025.11341646
29. Chakraborty, S., Pamisetty, A., Chandana, N., & CS, B. (2025, October). Depth-Wise Temporal Convolutional Networks with Layer Normalization for Waste Food Prediction. In 2025 2nd International Conference on Software, Systems and Information Technology (SSITCON) (pp. 1-6). IEEE.
30. Gottimukkala, V. R. R. (2025). Agentic AI for Next-Generation Cross-Border Payments: Contextual Learning in Transaction Routing. Journal of Informatics Education and Research, 5(4).
31. Gupta, D. K., Purushotham, K., Dheer, G., P, S., Gottimukkala, V. R. R., & Kapoor, S. (2025). Semantic Feature Learning Using Transformer-Based Deep Neural Networks. In 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG) (pp. 1–6). IEEE. 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG). https://doi.org/10.1109/ictbig68706.2025.11323734
32. Pallapu, S. R., Aitha, A. R., Vandhana, K., & Chelladurai, S. (2025, October). GAN-Augmented Transformer Framework for Cross-Domain Video Style Transfer. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
33. Ranga Reddy, V. A. (2024). Comparing Batch vs. Streaming Approaches in Healthcare Data Warehousing Environments. Journal of Neonatal Surgery, 13(1), 2287–2309. Retrieved from https://www.jneonatalsurg.com/index.php/jns/article/view/10223
34. AGENTIC AI FRAMEWORKS FOR AUTONOMOUS RISK DETECTION AND COMPLIANCE REMEDIATION IN ENTERPRISE DATA CENTER OPERATIONS. (2025). Lex Localis - Journal of Local Self-Government, 23(S6), 9672-9697. https://doi.org/10.52152/3f90ak91
35. Mangala, N. (2026). A Unified Architecture for Real-Time Analytics Using Microsoft Fabric OneLake. International Journal of Human Computations and Intelligence, 5(3), 793-807.
36. Bandi, V. D. V. K. (2026). Cognitive Data Engineering: AI-Governed Data Quality, Lineage, and Pipeline Optimization at Scale. International Journal of Economic Practices and Theories, 2026, 131-148.
37. Radha, S., Gottimukkala, V. R. R., Thottara, S., Vandhana, K., & J, Gokulraj. (2025). Adaptive Video Streaming Over 5G Networks Using Deep Reinforcement Learning with Closed-Loop Feedback Mechanism for Bitrate Control. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1–6). IEEE. 2025 International Conference on Communication, Computer, and Information Technology (IC3IT). https://doi.org/10.1109/ic3it66137.2025.11341184
38. Kolla, S. H. (2026). Autonomous Enterprise Agents: Orchestrating Large and Small Language Models for Scalable Decision Automation in ITSM, HRSD, and CSM Platforms. INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 24-45.
39. Yandamuri, U. S. AI-Driven Decision Support Systems for Operational Optimization in Hospitality Technology.
40. P, R., Manoranjithem, V., Garapati, R. S., Singh, S., Praveen, R., & K, M. S. (2025). Random Forest–XGBoost Hybrid Model for Early Detection of Breast Cancer in Medical Imaging Datasets. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1–6). IEEE. 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN). https://doi.org/10.1109/gcwcn66157.2025.11448354
41. Kolla, S. H. (2026). Small Language Models as Control Planes: Designing Cost-Efficient GenAI Orchestration Layers for Enterprise-Integrated Digital Workflows. Minnesota Journal of Business Law and Entrepreneurship.
42. Nagabhyru, K. C., Gadi, A. L., Seenu, A., Davuluri, P. S. L. N., Segireddy, A. R., & Pamisetty, V. (2026). Towards Automated Financial Risk Scoring in Automotive Financing with Explainable Machine Learning. In 2026 IEEE International Conference on AI Engineering and Innovations (AIEI) (pp. 1–6). IEEE. 2026 IEEE International Conference on AI Engineering and Innovations (AIEI). https://doi.org/10.1109/aiei69164.2026.11496822
43. EdgeMind: A Self-Evolving AI Framework for Distributed Intelligence in IoT Ecosystems. (2026). Journal of Informatics Education and Research, 6(2). https://jier.org/index.php/journal/article/view/4609
44. Garapati, R. S., Adusupalli, B., Kaulwar, P. K., Gadi, A. L., Annapareddy, V. N., & Challa, K. (2025). The Evolution of Digital Payments: A Study on AI-Powered Transaction Monitoring Systems. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1–8). IEEE. 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT). https://doi.org/10.1109/icicat68430.2025.11414665
45. Devayani, G., & Nagabhyru, K. C. (2026). Wireless Sensor Networks and Digital Twins for Real-Time City Simulation. Available at SSRN 6094546.
46. Yerra, S. D., Kiran Kumar, D. Y., Sheelam, G. K., Praveen, R., Paul, P. M., & M, D. (2026). Enhancing Road Safety and Network Intelligence Using a Swarm Intelligence–SVM Hybrid Model in 6G-Enabled V2X Communication. In 2026 IEEE International Conference on AI Engineering and Innovations (AIEI) (pp. 1–6). IEEE. 2026 IEEE International Conference on AI Engineering and Innovations (AIEI). https://doi.org/10.1109/aiei69164.2026.11497283
47. Sivanand, R., Kumar, D. P., Nagabhyru, K. C., Natarajan, E. P., Pamisetty, V., & Kapila, D. (2025, September). IoT and AI for Real-Time Monitoring in Substation Automation. In 2025 International Conference on Computing and Communications (COMPUTINGCON) (pp. 1-5). IEEE.
48. Kolla, S. H., Inala, R., & Kumar, M. V. K. (2026). Secure RAG Architectures with Small Language Models for Governance-Aligned LLM Deployment in Enterprise Service Management Platforms. International Journal of Economic Practices and Theories, 2026, 166-179.
49. FinOps Strategies for AI-Enabled Real-Time Compliance Platforms in Cloud Native Environments. (2025). MSW Management Journal, 35(2), 2080-2088.
50. MANGALAMPALLI, B. M., KOLLA, S. H., APPA RAO NAGUBANDI, D. R., & SEGIREDDY, A. R. (2025). AN INTELLIGENT, REAL-TIME DIGITAL FABRIC FOR HEALTHCARE AND FINANCIAL ECOSYSTEMS USING AUTONOMOUS LEARNING AND GENERATIVE SYSTEMS. TPM–Testing, Psychometrics, Methodology in Applied Psychology, 32(S9 (2025): Posted 15 December), 3070-3086.
51. Yandamuri, U. S. (2026). Scalable Cloud-Based Intelligent Decision Systems Leveraging AI and Big Data for Industry-Specific Optimization. Minnesota Journal of Business Law and Entrepreneurship, (1), 584-601.
52. Amistapuram, K. (2025). Agentic AI for Next-Generation Insurance Platforms: Autonomous Decision-Making in Claims and Policy Servicing. Journal of Marketing & Social Research, 2, 88-103.
53. Nandan, B. P., Kumar, M. V. K., Garapati, R. S., Bandi, V. D. V. K., Davuluri, P. S. L. N., & Mangalampalli, B. M. (2026). AI-Enhanced Semiconductor Yield Optimization Using Hybrid Deep Learning and Edge Data Analytics. In 2026 IEEE International Conference on AI Engineering and Innovations (AIEI) (pp. 1–6). IEEE. 2026 IEEE International Conference on AI Engineering and Innovations (AIEI). https://doi.org/10.1109/aiei69164.2026.11497190
54. Sheelam, G. K. (2025). Agentic AI in 6G: Revolutionizing Intelligent Wireless Systems through Advanced Semiconductor Technologies. Advances in Consumer Research.
55. Mangalampalli, B. M., & Kolla, T. (2026). FHIR-Based Interoperability Frameworks For Real-Time Healthcare Data Exchange: Architecture Patterns And Performance Optimization. International Journal Of Advances in Signal and Image Sciences, 1514-1536.
56. Bargavi, N., Athawale, S. G., Amistapuram, K., & Aitha, A. R. (2026). Safeguarding Consumer Data in Digital Insurance: Legal Frameworks and Ethical Imperatives. International Insurance Law Review, 34(S1), 272-284.
57. Deepika, G., Recharla, M., Deepika, S., P, Ilanchezhian., & G, Nirupashri. (2025). Adaptive Lightweight Autoencoder with Noise Estimation Module for Noise Reduction in ECG Signals. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1–6). IEEE. 2025 International Conference on Communication, Computer, and Information Technology (IC3IT). https://doi.org/10.1109/ic3it66137.2025.11340876
58. Madhavi, K. R., Gottimukkala, V. R. R., Pandiri, L., Sriram, H. K., Malempati, M., & Adusupalli, B. (2025, November). Hybrid Transformer–Federated Learning Model for Secure Release Engineering in Global Payment Networks. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1-6). IEEE.
59. Challa, K., Singireddy, J., Pamisetty, A., Garapati, R. S., Kannan, S., & Sriram, H. K. (2025, December). Harnessing Agentic AI and IT Infrastructure in Banking to Drive Consumer Insights, Operational Excellence, and Intelligent Financial Innovation. In 2025 3rd International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 1-7). IEEE.
60. Ranjith Kumar Peddi (2021). Optimizing Case Management Workflows in Global Data Center Colocation Services. Universal Journal of Computer Sciences and Communications, 1(1), 1-21. https://doi.org/10.31586/ujscs.2021.1380
61. Naik, A. V., Sheelam, G. K., Panchakatla, N., Muthukumaran, K., & Saranya, K. (2025). Comprehensive Analysis on Depression Detection From Social Media Using Deep Learning and Transformer Architectures. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1–8). IEEE. 2025 International Conference on Communication, Computer, and Information Technology (IC3IT). https://doi.org/10.1109/ic3it66137.2025.11341160
62. Loganathan, R. (2022). Converging Security Architecture and Compliance Management in Enterprise Data Center Ecosystems: A Unified Control Framework. International Journal of Scientific Research and Modern Technology, 1(12), 295–312. https://doi.org/10.38124/ijsrmt.v1i12.1378
63. Mangalampalli, B. M. Generative AI Applications In Healthcare Data Mart Design And Optimization.
64. Pandiri, L. (2025, May). Exploring Cross-Sector Innovation in Intelligent Transport Systems, Digitally Enabled Housing Finance, and Tech-Driven Risk Solutions A Multidisciplinary Approach to Sustainable Infrastructure, Urban Equity, and Financial Resilience. In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) (pp. 1-12). IEEE.
65. None, D. M. K., None, V. D. V. K. B., None, N. M., None, S. H. K. & None, B. M. M. (2026). Engineering Intelligent Cloud-Native Data Ecosystems for Predictive Decision-Making in Industry. Journal of European Economic History, 7(2), 68-88.
66. Jagtap, S., Inala, R., Venu, M., & Divya, T. V. (2025, October). Large-Scale Crowd Flow Prediction Using Temporal Convolutional Network with Spatio-Temporal Attention. In 2025 International Conference on Communication, Computer, and Information Technology (IC3IT) (pp. 1-6). IEEE.
67. Madhavi, K. R., Rongali, S. K., Polineni, T. N. S., Kummari, D. N., Challa, K., & Challa, S. R. (2026). Explainable AI (XAI)-Driven Predictive Analytics Framework for Ethical and Scalable Automation in Cloud-Native Architectures with Enterprise and Healthcare Interoperability. In 2026 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 31–36). IEEE. 2026 International Conference on Electronics and Renewable Systems (ICEARS). https://doi.org/10.1109/icears67481.2026.11416589
68. Seenu, A., Aitha, A. R., Gottimukkala, V. R. R., Singireddy, J., Meda, R., & Garapati, R. S. (2025). Hybrid Multi-Agent Reinforcement Learning and Blockchain Framework for Real-Time Transaction Integrity in Cloud-Driven Financial Systems. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1–6). IEEE. 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN). https://doi.org/10.1109/gcwcn66157.2025.11448456
69. Mangala, N. (2026). Beyond Medallion: Next-Generation Lakehouse Architectures for Real-Time AI-Driven Enterprise Decision Systems. Minnesota Journal of Business Law and Entrepreneurship, (1), 1109-1127.
70. Recharla, M., & Nuka, S. T. (2025). Translational Approaches To Commercializing Neurodegenerative Therapies: Bridging Laboratory Research With Clinical Practice. South Eastern European Journal of Public Health, 121–144.
71. Sudha Rani, P. R., Amistapuram, K., Pamisetty, V., Singireddy, S., Kummari, D. N., & Sheelam, G. K. (2025). Hybrid Knowledge Graph–Deep Learning Framework for Automated Exception Handling and Investigation in Complex Insurance Claims. In 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN) (pp. 1–6). IEEE. 2025 IEEE 3rd Global Conference on Wireless Computing and Networking (GCWCN). https://doi.org/10.1109/gcwcn66157.2025.11448301
