50 ai projects vol-2
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Take your AI projects to the next level.
Explore 10 intermediate-level Artificial Intelligence projects covering NLP, Machine Learning, Computer Vision, prediction, classification, sentiment analysis, image recognition, and voice-based applications.
From fake news detection and student performance prediction to resume ranking, plant disease identification, sign language recognition, and language translation, Vol-2 takes you deeper into practical AI development through a complete Software Development Life Cycle.
Learn the concepts. Build the systems. Think like an AI developer.
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About the Book
About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-2 is the second volume in a practical project-based series designed to help learners move from basic Artificial Intelligence applications toward more sophisticated and industry-oriented AI solutions.
Building upon the foundation established in Volume 1, this volume focuses on 10 intermediate-level AI projects that introduce readers to more challenging applications of Natural Language Processing, Machine Learning, Computer Vision, predictive analytics, recommendation systems, and intelligent automation.
The projects covered in this volume include Fake News Detection, Traffic Violation Detection, Student Performance Prediction, Automatic Essay Grading, Email Spam Classification, Resume Ranking, Customer Sentiment Analysis, Plant Disease Identification, Sign Language Recognition, and Voice-Based Language Translation.
A key feature of this book is its emphasis on the complete Software Development Life Cycle (SDLC). Readers are guided beyond the coding stage and introduced to the professional process of developing an AI-based software system—from understanding the problem and analyzing requirements to system design, implementation, testing, deployment, maintenance, and future enhancement.
Each project is structured to encourage learners to understand both the AI methodology and the software engineering process behind the solution. The projects provide opportunities to work with concepts such as supervised learning, classification, prediction, NLP, sentiment analysis, image processing, computer vision, speech processing, and intelligent decision-making.
The book is particularly useful for BCA, B.Sc. IT, B.Tech, MCA, M.Tech, Diploma students, AI/ML learners, educators, project developers, researchers, and aspiring software professionals who have completed basic AI projects and are ready to take their practical skills to the next level.
The learning journey follows a structured path:
Problem → Feasibility → Requirements → Design → AI Model → Development → Testing → Implementation → Documentation → Enhancement
Volume 2 bridges the gap between beginner-level experimentation and more advanced AI application development. It prepares readers to approach AI projects with greater technical confidence, stronger software engineering practices, and a more professional development mindset.
This volume is part of the larger 50 AI Projects collection and serves as the next step toward intermediate and advanced Artificial Intelligence project development.
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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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