Machine Learning and Deep Learning for Next-Generation Applications is a comprehensive academic reference that presents the latest advancements in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) through practical, research-oriented, and industry-relevant applications. The book is designed to provide readers with a strong foundation in intelligent computing while demonstrating how modern AI technologies are transforming diverse sectors, including healthcare, computer vision, natural language processing, recommendation systems, smart automation, and digital media. It features twelve carefully structured chapters covering innovative projects such as personalized recommendation systems, medical image analysis, disease prediction, AI-based video detection, augmented reality, speech processing, crowd density estimation, and intelligent decision-support systems. Each chapter systematically presents the problem statement, literature review, system architecture, implementation methodology, algorithms, experimental evaluation, results, and future research directions, enabling readers to understand both theoretical concepts and practical implementation. The content emphasizes contemporary AI frameworks, deep learning models, real-world datasets, and emerging technologies that are widely adopted in academia and industry. Rich with application-driven examples and technical insights, the book serves as an invaluable resource for undergraduate and postgraduate students, researchers, faculty members, and professionals seeking to develop expertise in next-generation intelligent systems. By integrating fundamental principles with real-world case studies, this book equips readers with the knowledge and skills required to design, develop, and deploy innovative AI-powered solutions for addressing complex challenges in today’s rapidly evolving technological landscape.
About the Editors’
Mrs. N. Divya, working as Assistant Professor with 16 years of experience in teaching undergraduate students in Bachelor of Technology programs. She is a passionate educator and researcher who focuses on cloud computing,full stack development,exploratory data analysis,deep learning,data analytics with an emphasis on integrating innovative techniques and methodologies. She has published 12 papers in national and international journals and conferences. Committed to lifelong learning, she actively participates in workshops and conferences to stay at the forefront of her field. She excels in delivering student-centered education, fostering critical thinking, and inspiring future technology professionals.
Mrs. Roja Gurrapu is a dedicated professional in the field of CSE(AI&ML). She did her B.Tech from Jawaharlal Nehru Technological University in 2007 and M.Tech in 2013. She is currently pursuing her Ph.D. in Computer Science and Engineering at KL University. Presently she is working as a Assistant Professor in the Department of CSE(AI&ML), G. Narayanamma Institute of Technology and Science, Hyderabad, India. Her research interests are Machine Learning, Deep Learning and Artificial Intelligence. She has authored 10 Scopus indexed research papers, and she also has credit of 4 patents and 2 books. She has more than 14 years of teaching experience, and she has taught a wide variety of subjects like Machine Learning, Full Stack Development, Core Java, Python, Problem-Solving through C, DS through C, OS etc.
Mrs. D. Anusha, working as Assistant Professor with 10 years of experience in teaching undergraduate students in Bachelor of Technology programs. She is a passionate educator and researcher who focuses on enhancing data privacy and security in information systems, with an emphasis on integrating innovative techniques and methodologies. She has published four papers in national and international journals and conferences. Committed to lifelong learning, she actively participates in workshops and conferences to stay at the forefront of her field. She excels in delivering student-centered education, fostering critical thinking, and inspiring future technology professionals.
Mrs. R.Anusha, working currently as an assistant professor in the department of CSE(AI&ML) at G.Narayanamma Institute of Technoloy and Sciences, Hyderabad. She received her B.Tech degree in CSE from JNTUH univeristy, her M.Tech degree in Information Technology from JNTUH university. She is currently pursuing her doctoral research in the domain of Deep Learning, with a focus on biomedical signal and neuroimaging data. She has obtained IUCEE IIEECP certificate with distinction. She published research papers in various international journals and conferences.
Dr. Saritha Dasari is an experienced academician with over 20 years of teaching and research expertise in Computer Science and Engineering.She earned her Ph.D from Jawaharlal Nehru Technological University Anantapur in Brain Tumor Image Segmentation and Detection using advanced clustering and CNN techniques.Currently serving as an Assistant Professor at G. Narayanamma Institute of Technology and Science for Women, she has guided numerous B.Tech and M.Tech projects and contributed extensively to AI, Machine Learning, Data Mining, and Medical Image Processing research.She has published multiple Scopus-indexed research papers, qualified UGC NET and TSSET, and actively participated in national and international conferences, workshops, and academic leadership activities.
Mrs. CH.Veena is a dedicated professional in the field of CSE(AI&ML). She did her B.Tech from Jawaharlal Nehru Technological University in 2010 and M.Tech in 2014. She is currently pursuing her Ph.D. in Computer Science and Engineering at Jawaharlal Nehru Technological University. Presently she is working as an Assistant Professor in the Department of CSE(AI&ML), G. Narayanamma Institute of Technology and Science, Hyderabad, India. Her research interests are Cyber security ,Machine Learning and Artificial Intelligence. She has authored various Scopus indexed research papers, and she also has credit of 4 patents. She has 12 years of teaching experience, and she has taught a wide variety of subjects like Network Security, Database management systems, Software Engineering, Cyber security, Computer Networks, OS etc.
