50 ai projects vol-6
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Explore six advanced AI applications shaping the future.
Build intelligent solutions for smart farming, AI-powered content creation, predictive healthcare, smart-city traffic optimization, conversational AI, and AI-generated music.
From predicting crop yields and monitoring health to optimizing traffic and creating music with GANs, this volume demonstrates the practical possibilities of modern Artificial Intelligence.
Six projects. Six domains. One journey toward advanced AI innovation.
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About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-6 presents the final six projects of the 50-project Artificial Intelligence collection, focusing on advanced and emerging applications of AI across agriculture, content creation, healthcare, smart cities, conversational intelligence, and creative technology.
This volume covers Chapters 45 to 50, bringing together six advanced AI projects that demonstrate how Artificial Intelligence can be applied to solve complex real-world problems and create intelligent, automated, and innovative software solutions.
The projects included in this volume are 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 a structured Software Development Life Cycle (SDLC) approach, allowing readers to understand not only the Artificial Intelligence techniques involved but also the complete process of developing a software system.
The project methodology covers problem identification, preliminary study, feasibility analysis, requirements specification, system design, AI methodology, development, testing, implementation, maintenance, documentation, and future scope.
The projects introduce readers to advanced concepts including Machine Learning, Generative AI, Natural Language Processing, Sentiment Analysis, Reinforcement Learning, Predictive Analytics, Generative Adversarial Networks (GANs), intelligent optimization, conversational AI, and AI-assisted content generation.
The volume is particularly useful for BCA, B.Sc. IT, B.Tech, MCA, M.Tech, Computer Science, Artificial Intelligence, Data Science, and Information Technology students, as well as educators, developers, researchers, project mentors, and AI enthusiasts.
The projects demonstrate how AI can address challenges in different domains:
- Agriculture: Crop yield prediction and intelligent farming
- Content Creation: AI-assisted script generation
- Healthcare: Predictive health monitoring
- Smart Cities: Intelligent traffic optimization
- Conversational AI: GPT and sentiment-based assistance
- Creative AI: AI-generated music composition
The development journey follows:
Problem → Analysis → Feasibility → Requirements → Design → AI Model → Development → Testing → Deployment → Enhancement
This volume brings together the final six projects of the original 50-project collection and demonstrates the broad creative and practical possibilities of Artificial Intelligence.
The projects are designed as educational and development foundations. Readers are encouraged to experiment with datasets, algorithms, architectures, interfaces, APIs, and deployment strategies to create their own improved AI solutions.
From intelligent agriculture to generative music, these six projects demonstrate how AI can transform ideas into innovative 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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