AI/ML Project Titles (Final Year Engineering 2026 List)
Introduction
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), IoT, and Data Science are the most trending technologies for final year projects. Below is a comprehensive list of real-world AI/ML project titles with short descriptions for students and developers.
AI/ML Project Titles with Descriptions
1. Communication, IoT & Smart Systems
1. AI/ML Based Blockage Prediction Using Beam Measurement Reports for mmWave V2X Communication Systems
Predicts network blockage in V2X communication using machine learning models.
2. Building Necessary Data Models to Have Accurate AI/ML Outcomes for Integrating AI/ML in Failure Reporting Systems
Improves industrial failure analysis using AI-based predictive models.
3. Smart Campus GPS for Classroom Occupancy and Energy Conservation
Tracks classroom occupancy and optimizes energy usage.
4. AI-ML and IoT-Enabled Fog-Assisted Image Processing Framework Employing CNNs
Uses fog computing and CNN for fast image processing.
5. AI and YOLO-Enabled Automated Traffic Management Framework for Emergency Vehicle Priority
Detects emergency vehicles and manages traffic signals automatically.
6. Smart Surveillance System for Railways
AI-based railway surveillance and monitoring system.
7. Federated Edge Learning MAC Cross-Layer Optimization in 6G Networks
Improves next-generation wireless communication systems.
8. Waveform Data Capture of Residential Circuits and Appliances at Scale
Collects and analyzes smart electricity usage data.
2. Healthcare AI/ML Projects
9. Machine Learning Techniques for Voice-Based Parkinson's Disease Detection
Detects Parkinson’s disease using voice pattern analysis.
10. Speech-to-Health: Dysarthria Detection and Medical Speech Intelligence System
Analyzes speech for healthcare diagnosis.
11. Diabetic Retinopathy Detection using VGG16 and Grad-CAM
Detects eye disease using deep learning with explainability.
12. AI–ML–Based Brain Tumor Detection in IoT-Enabled Medical Imaging
Detects brain tumors using MRI scans and AI models.
13. Ensemble Deep Learning Framework for Automated Diabetic Retinopathy Detection using EfficientNet Models
Advanced medical image classification system.
14. MRI-Based Alzheimer’s Disease Classification Using Deep Learning
Detects Alzheimer’s disease using MRI data.
15. Surface EMG Signal Processing for Low-Cost Prosthetic Hand Control
Controls prosthetic hand using EMG signals.
16. Multi-Disease Chest X-ray Classification and Explainability using Grad-CAM
Detects multiple diseases from chest X-rays.
3. Agriculture & Environment AI Projects
17. Air Quality Prediction and Pollution Source Detection
Predicts pollution levels and sources using ML.
18. Real-Time Offline Edge AI Framework for Precision Agriculture
AI-based crop monitoring system.
19. Plant Disease Prediction System Based on AI with Subject Expert Support
Detects plant diseases using AI models.
20. A Dataset of Ground-Captured Plant Images for Disease Detection and Categorization
AI system for crop disease classification.
21. Identification and Classification of Maize Leaf Diseases Using ResNet152V2
Deep learning-based agriculture disease detection.
4. Cybersecurity & Fraud Detection
22. Artificial Intelligence as the Shield of Cybersecurity
AI-based cyber threat detection system.
23. Comparative Analysis of IoT Botnet Detection Using Deep Learning Models
Detects IoT network attacks using ML models.
24. Ensemble Methods to Detect Intrusions in IoT Networks
Improves IoT security using ensemble learning.
25. Semantic Fact-Checking and Misinformation Analysis Using LLM and Generative AI
Detects fake news using NLP and LLMs.
26. AI-Driven Cyber Resilience Framework for Cloud Environments
Cloud security using AI intrusion detection.
5. Smart Applications & Automation
27. Multi-Agent Powered Vehicle Recommendation System
AI-based intelligent vehicle recommendation system.
28. AutoMeet: AI Powered Online Meet Summarizer
Generates summaries from online meetings.
29. Live Emotion Based Music Recommender System
Recommends music based on user emotions.
30. Web AR 3D Product Viewing and Experience for Shopping
Augmented reality-based online shopping system.
31. Smart Surveillance System for Railways
AI-powered monitoring system for railway safety.
32. Virtual Ink: A Real-Time Gesture Drawing and Recognition System
Recognizes hand gestures for drawing applications.
6. Advanced AI / Research Projects
33. Machine Unlearning Concepts, Algorithm, and Case Studies in AI
AI system that forgets sensitive or outdated data.
34. Explainable Quantum-Enhanced Federated Learning Framework
Combines quantum computing with federated learning.
35. Federated Learning for Smart Grid Energy Forecasting
Predicts energy usage while preserving privacy.
36. Quantum Super-Resolution by Adaptive Non-Local Observables
Enhances image resolution using quantum AI methods.
37. Soft Computing-Driven Energy Efficient Algorithm for Resource-Constrained Devices
Optimizes performance in low-power devices.
7. Recommendation & Intelligent Systems
38. SMART STOCKS: Multimodal Deep Learning Stock Forecasting System
Predicts stock market trends using AI models.
39. OpenVerse: Intelligent Recommendation Platform for GSoC Preparation
Recommends coding opportunities for students.
40. Multi-Agent KPI Generator and Recommendation System
AI system for business KPI prediction.
8. Computer Vision & Deep Learning Projects
41. SEQUENCE OF MOTION: Spatiotemporal Activity Detection with Deep Learning
Recognizes human actions in videos.
42. SCOUT: Vision-Based Fall Detection System for Elderly Safety
Detects falls using computer vision.
43. Diabetic Retinopathy Detection using VGG16 and Grad-CAM
Medical image classification system.
44. IRSim: AI Generation of Infrared Images
Generates synthetic infrared images.
45. Poseperfect: Real-Time Yoga Pose Recognition System
Detects yoga posture accuracy.
Conclusion
These AI/ML project titles cover real-world applications in healthcare, IoT, cybersecurity, agriculture, finance, and smart systems. Students can select projects based on difficulty level and hardware/software availability.