Books by Dibyendu Banerjee
Shroff Publishers & Distributors Pvt. Ltd., 2025
About the Book
This book serves as a structured and in-depth resource for engineering students, ... more About the Book
This book serves as a structured and in-depth resource for engineering students, professionals, and researchers seeking to build expertise in Artificial Intelligence. Starting with core concepts in mathematics and statistics, the book gradually advances through Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI, ultimately leading to an in-depth exploration of Agentic AI and its potential impact on the future.
Key Features
Balanced Approach: Integrates theory with hands-on practice, including code snippets, exercises, and full project implementations.
Step-by-Step Learning Journey: Starts with foundational math and statistics, moving through ML, DL, NLP, Generative AI, and culminating in Agentic AI.
Future-Focused Insights: Explores emerging AI trends like Large Language Models (LLMs) and Agentic AI, emphasizing adaptability in a fast-evolving field.
From Basics to Cutting Edge: Covers content from grassroots fundamentals to advanced AI, making it a complete guide from ML to Agentic AI.
Papers by Dibyendu Banerjee
Multidisciplinary International Journal of Research and Development , 2025
Accurate and interpretable assessment of socioeconomic conditions is vital for equitable policyma... more Accurate and interpretable assessment of socioeconomic conditions is vital for equitable policymaking, yet traditional methods face limitations in scalability and resolution. This paper presents a novel explainable multimodal framework that synergizes high-resolution satellite imagery with large language models (LLMs) to infer infrastructure-driven development levels. Unlike opaque deep learning models, our approach extracts visual features (e.g., roof materials, road density) and leverages LLMs to generate human-understandable insights, bridging the gap between geospatial data and actionable policy recommendations. We propose a hybrid architecture that aligns visual and textual modalities, enabling transparent analysis of underdeveloped regions. Experiments on diverse urban datasets demonstrate superior performance in identifying informal settlements and infrastructure gaps. By integrating explainability with remote sensing, this work advances responsible AI for social impact, offering governments and NGOs a scalable tool for targeted interventions.
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Books by Dibyendu Banerjee
This book serves as a structured and in-depth resource for engineering students, professionals, and researchers seeking to build expertise in Artificial Intelligence. Starting with core concepts in mathematics and statistics, the book gradually advances through Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI, ultimately leading to an in-depth exploration of Agentic AI and its potential impact on the future.
Key Features
Balanced Approach: Integrates theory with hands-on practice, including code snippets, exercises, and full project implementations.
Step-by-Step Learning Journey: Starts with foundational math and statistics, moving through ML, DL, NLP, Generative AI, and culminating in Agentic AI.
Future-Focused Insights: Explores emerging AI trends like Large Language Models (LLMs) and Agentic AI, emphasizing adaptability in a fast-evolving field.
From Basics to Cutting Edge: Covers content from grassroots fundamentals to advanced AI, making it a complete guide from ML to Agentic AI.
Papers by Dibyendu Banerjee