50 ai projects vol-3
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Build smarter AI solutions for real-world problems.
Volume 3 presents 10 intermediate-level AI projects covering intelligent tutoring, wildlife detection, healthcare scheduling, air-quality prediction, career recommendations, fire detection, adaptive e-learning, conversational AI, movie recommendations, and resume skill extraction.
Each project follows the complete Software Development Life Cycle, helping readers move from problem identification and system design to AI development, testing, implementation, and future enhancement.
Turn AI concepts into intelligent applications.
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About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-3 is the third volume in a comprehensive project-based series designed to help learners develop practical skills in Artificial Intelligence through real-world applications and professional Software Development Life Cycle (SDLC) practices.
Following the beginner projects in Volume 1 and the first set of intermediate projects in Volume 2, this volume continues with 10 intermediate-level AI projects covering intelligent tutoring, wildlife monitoring, healthcare scheduling, environmental prediction, career guidance, fire detection, adaptive e-learning, conversational AI, recommendation systems, and NLP-based resume analysis.
The projects covered in this volume include AI Tutor for MCQ-Based Exam Preparation, Wildlife Detection from CCTV Feed, AI-Based Doctor Appointment Scheduler, Air Quality Index Prediction, Career Recommendation System, Fire Detection in Surveillance Videos, E-Learning Adaptive Content Generator, AI-Powered Mental Health Chatbot, Movie Recommendation System, and NLP-Based Resume Skill Extractor.
Each project is presented through a structured software engineering approach rather than focusing only on the AI model or programming code. Readers are encouraged to understand the complete development journey, including problem identification, preliminary study, feasibility analysis, requirements specification, system design, AI methodology, implementation, testing, deployment, maintenance, documentation, and future scope.
The projects introduce practical concepts from Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Predictive Analytics, Conversational AI, intelligent automation, and adaptive systems.
This volume is especially useful for BCA, B.Sc. IT, B.Tech, MCA, M.Tech, Diploma students, AI/ML learners, educators, trainers, project developers, researchers, and aspiring software professionals who want to strengthen their practical AI development skills.
The development methodology follows a clear progression:
Problem → Analysis → Feasibility → Requirements → Design → AI Solution → Development → Testing → Deployment → Maintenance
Volume 3 further strengthens the bridge between academic learning and real-world AI application development. It encourages readers to think beyond isolated programs and understand how intelligent systems can be designed as complete, useful, and maintainable software solutions.
This volume is part of the larger 50 AI Projects collection and continues the intermediate-level project journey before readers move toward the advanced AI projects covered in later volumes.
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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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