Reimagining Tomorrow AI and Sustainable Imperative

Section 1: Advanced Artificial Intelligence, Machine Learning Models and Intelligent System Development. Machine Learning and Geospatial Analysis for Advanced Water Quality Forecasting and Land Use Impact Assessment. Automated Detection of Autism Spectrum Disorder in Children Via Standardized Assessment-Based Deep Learning Models and Classification Model. Empowering Credit Decisions with CatBoost: From SHAP Driven Insights to Actionable Business Rules in Loan Default Prediction. Design and Implementation of Multi-Sensor IoT Based Real-Time Mental Wellness Monitoring Using Machine Learning. Smart Fruit Quality Monitoring Using Image Processing with Deep Neural Networks. Current Developments and the Challenges in the State of AI and Machine Learning Based Landslide Susceptibility Prediction Models: An Overview. A Review of Rock Slope Stability Assessment Techniques: Analytical, Numerical and Machine Learning. Design and Development of a Voice-Controlled Personal Safety Application 9. AI Powered Medical Reporting and Clinical Dashboard 10. Named Entity Recognition for Kannada Language Using XLM-RoBERTa and IndicBERT. Deep Learning Framework for Early Detection and Region-Wise Identification of Oral Cancer in Histopathology. Multi-Agent Framework for Pediatric Pneumonia Diagnosis Integrating Vision and Language Models. A Secure Multimodel Biometric Framework for Authentication Using Finger Vein and Palm Print Fusion via Deep Learning and Feature-Level Integration. A Hierarchical 3D Convolutional Neural Network (H-3D-CNN) with FreeSurfer-Based Brain Preprocessing for AD Classification. AI-Based Smart Feedback and Complaint Management System with Sentiment Prioritization. An End-to-End Deep Learning Approach to Intelligent Steganography for Data Hiding. Efficient Feature-Based Framework for Real-Time Static Sign Language Recognition Using Classical Machine Learning. Classifying Kidney Disease from CT Scan Images Using Deep Learning: An All-Inclusive Multi-Model Ensemble Method Section 2: Applied Artificial Intelligence, Socio-Technical Systems, Healthcare Innovations and Policy Perspectives. The Intelligent Health Paradigm: Modernizing India's Medical Regime with AI. Neurophysiological Modulation Through Indian Classical Ragas: An Integrative Study on Therapeutic Effects. AI-Based Learning Analytics for Redesigning HR Reskilling toward Decent Work (SDG 8). Human-Centric Industry 5.0 Frameworks for Sustainable Gig Work Ecosystems. Qualitative Analysis of Gaps in Indian Agri-Food Supply Chains and Their Impact on Sustainability and Industry 4.0/5.0 Goals. Artificial Intelligence in Maritime Healthcare: Diagnostic Support, Predictive Analytics, and Teleconsultation. From Application Domains to Governance Implications: A Socio-Technical Framework for AI in Marginalised and Rural Contexts. AI-Based Monitoring of Anxiety and Depression in Professional Football: Mediating Mechanisms and Governance Tensions. Enhancing Transparency and Security Through Blockchain Innovation. Natto-Derived MK-7 in Postmenopausal Bone Health: Clinical Perspectives and the Role of Artificial Intelligence