50 ai projects vol-5
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Build the future with advanced Artificial Intelligence.
The final volume of the 50 AI Projects series presents 10 advanced projects covering AI code review, news bias detection, blockchain voting, deepfake detection, smart farming, AI content creation, predictive healthcare, smart-city traffic optimization, conversational AI, and AI-generated music.
Explore emerging AI technologies while following the complete Software Development Life Cycle—from problem definition and system architecture to development, testing, deployment, and future enhancement.
50 projects. 5 volumes. One complete journey into practical AI development.
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About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-5 is the fifth and final volume of the comprehensive 50 AI Projects series, bringing together a collection of advanced Artificial Intelligence applications that explore some of the most challenging and emerging areas of AI-powered software development.
This volume represents the culmination of the learning journey that begins with beginner-level projects in Volume 1, progresses through intermediate projects in Volumes 2 and 3, and advances into complex AI applications in Volume 4.
Volume 5 presents 10 advanced AI projects covering code quality analysis, media bias detection, blockchain-based security, deepfake detection, smart agriculture, AI-assisted content creation, predictive healthcare, intelligent transportation, conversational AI, and AI-generated music.
The projects covered in this volume include AI-Based Code Review and Quality Analyzer, Bias Detection in News Using AI, AI-Powered Secure Voting System with Blockchain, Deepfake Detection Tool Using CNN, Smart Farming and Crop Yield Predictor, AI-Powered Script Writer for Content Creators, Predictive Healthcare Monitoring System, Smart City Traffic Optimizer Using Reinforcement Learning, AI-Based Therapist Using GPT & Sentiment Analysis, and AI-Generated Music Composition Using GANs.
Each project follows the complete Software Development Life Cycle (SDLC), allowing readers to understand how advanced AI applications can be transformed from ideas into structured software systems. The project methodology covers problem definition, preliminary study, feasibility analysis, requirements engineering, system design, AI methodology, development, testing, implementation, maintenance, documentation, and future scope.
The volume introduces readers to advanced areas including Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, GANs, sentiment analysis, blockchain integration, predictive analytics, intelligent transportation, AI-assisted software engineering, and multimodal intelligent applications.
This volume is particularly valuable for B.Tech, MCA, M.Tech, BCA, B.Sc. IT, Computer Science, Artificial Intelligence, Data Science, and Information Technology students, as well as developers, researchers, educators, project mentors, and AI enthusiasts interested in advanced project development.
The complete project-development journey can be summarized as:
Real-World Problem → Research → Requirements → Architecture → AI Strategy → Development → Testing → Deployment → Monitoring → Improvement
Volume 5 completes the 50 AI Projects collection and provides readers with a broad foundation for exploring advanced AI systems, research ideas, academic projects, portfolio applications, prototypes, and future innovations.
The projects are intended to encourage experimentation and further development. Readers can enhance them by using improved datasets, newer models, better interfaces, stronger security mechanisms, scalable architectures, responsible AI practices, and modern deployment technologies.
This final volume is not an endpoint—it is a starting point for creating the next generation of AI-powered applications.
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Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
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