50 ai projects vol-1
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Learn AI by building real projects.
Explore 10 practical beginner-level Artificial Intelligence projects and learn how to take an idea from problem definition to design, coding, testing, implementation, documentation, and future enhancement.
From chatbots and face detection to resume screening, NLP, emotion detection, and intelligent recommendation systems, Vol-1 provides a structured introduction to practical AI development through the complete Software Development Life Cycle.
Don’t just study AI. Build it.
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About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-1 is a practical, project-oriented guide designed to help students and aspiring AI developers transform Artificial Intelligence concepts into working software applications.
This volume focuses on 10 beginner-level AI projects, covering real-world applications such as a College Enquiry Chatbot, Voice-Controlled Calculator, Face Detection-Based Attendance System, Intelligent Spell Checker, AI Resume Screening System, Smart Diet Recommendation Tool, Emotion Detection, AI Currency Converter, News Summarizer, and AI Personality Test System.
What makes this book different is its emphasis on the complete Software Development Life Cycle (SDLC). Instead of presenting only coding examples, each project is approached as a complete software engineering case study, covering problem identification, preliminary study, feasibility analysis, requirements specification, system design, development, testing, implementation, maintenance, future scope, documentation, and viva preparation.
The projects introduce readers to practical applications of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, OpenCV, and other modern technologies. The explanations are structured to be accessible to beginners while maintaining an academic and professional approach.
The book is particularly useful for BCA, B.Sc. IT, B.Tech, MCA, M.Tech, Diploma students, project developers, educators, trainers, and AI enthusiasts who want to develop practical skills and build meaningful academic or portfolio projects.
Rather than learning AI only through theory, readers are encouraged to follow a complete journey:
Problem → Requirements → Design → Development → Testing → Implementation → Documentation → Future Enhancement
This volume serves as the foundation of the larger 50 AI Projects collection, with intermediate and advanced projects covered in subsequent volumes.
Whether you are preparing an academic project, building your portfolio, learning AI through practical examples, or teaching AI project development, this book provides a structured starting point for developing real-world AI applications using professional software engineering practices.
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About the Author
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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