Top 25 Best IEEE AI ML Projects Using Raspberry Pi 4
Raspberry Pi 4 is a powerful edge computing device capable of running Artificial Intelligence and Machine Learning models efficiently. IEEE-based AI ML projects using Raspberry Pi 4 are ideal for final year engineering students who want real-time implementation with hardware integration.
Below are 25 trending IEEE AI ML project ideas using Raspberry Pi 4:
AI-Based Face Recognition Attendance System
ML-Based Smart Surveillance System
AI Traffic Monitoring and Density Analysis
AI-Based Number Plate Recognition
Smart Healthcare Monitoring using ML
AI-Based Brain Tumor Detection System
ML-Based Crop Disease Detection
AI-Based Fire and Smoke Detection
AI-Powered Smart Parking System
ML-Based Industrial Fault Detection
AI-Based Human Activity Recognition
AI-Based Air Quality Monitoring
AI-Based Helmet Detection System
ML-Based Predictive Maintenance System
AI-Based Intrusion Detection System
AI-Based Accident Detection and Alert
ML-Based Power Consumption Prediction
AI-Based Water Quality Monitoring
AI-Based Emotion Recognition System
AI-Based Smart Classroom Monitoring
ML-Based Network Intrusion Detection
AI-Based Object Detection using YOLO
AI-Based Cybersecurity Monitoring
AI-Based Industrial Safety Monitoring
AI-Based Smart Home Automation System
These projects use Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, Raspberry Pi 4, camera modules, sensors, and cloud dashboards for real-time intelligent systems.
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