50 ai projects vol-4
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Enter the world of advanced AI engineering.
Volume 4 presents 10 advanced Artificial Intelligence projects covering medical diagnosis, crime prediction, autonomous drones, predictive maintenance, disaster management, conversational AI, financial fraud detection, legal document analysis, smart shopping, and autonomous vehicle vision.
Go beyond basic models and explore how complex AI systems can be planned, designed, developed, tested, deployed, and enhanced using a complete Software Development Life Cycle.
From intelligent models to intelligent systems.
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About the Book
50 AI Projects: Practical Applications with Full Software Engineering Lifecycle Vol-4 is the fourth volume in a comprehensive project-based series that takes readers into the world of advanced Artificial Intelligence applications and professional AI system development.
After completing the beginner-level projects in Volume 1 and intermediate-level projects in Volumes 2 and 3, this volume introduces 10 advanced AI projects involving healthcare, predictive analytics, autonomous systems, disaster management, conversational AI, financial security, legal technology, intelligent shopping, and autonomous vehicle applications.
The projects covered in this volume include AI-Driven Medical Diagnosis Assistant, Crime Forecasting and Prediction System, Autonomous Drone Navigation Using AI, Predictive Maintenance for Industrial Machinery, Disaster Management & Risk Prediction Using AI, Emotion-Aware Conversational AI Assistant, Financial Fraud Detection System Using AI, Legal Document Analyzer Using NLP, Smart Virtual Shopping Assistant, and Pedestrian Detection for Autonomous Vehicles.
These projects expose readers to complex AI applications where Artificial Intelligence must work alongside sophisticated software engineering, data processing, system architecture, model evaluation, security, and deployment considerations.
As with the previous volumes, every project follows a structured Software Development Life Cycle (SDLC) approach. Readers are guided through problem identification, preliminary study, feasibility analysis, requirements engineering, system design, AI methodology, development, testing, implementation, maintenance, documentation, and future scope.
The projects explore advanced concepts such as predictive analytics, computer vision, Natural Language Processing, anomaly detection, autonomous navigation, conversational AI, fraud detection, document intelligence, recommendation systems, and intelligent decision-making.
This volume is intended for BCA, B.Sc. IT, B.Tech, MCA, M.Tech, Diploma students, AI/ML learners, developers, researchers, educators, project developers, and technology enthusiasts who want to explore more sophisticated Artificial Intelligence applications.
The development journey follows:
Complex Problem → Feasibility → Requirements → Architecture → AI Model → Development → Testing → Deployment → Monitoring → Enhancement
Volume 4 represents a significant transition from conventional academic AI projects toward advanced, domain-specific intelligent systems. It encourages readers to think about accuracy, reliability, scalability, security, usability, and real-world deployment while developing AI solutions.
This volume is part of the larger 50 AI Projects collection and provides the first set of advanced projects before the final advanced-level projects presented in Volume 5.
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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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