Build an AI-powered attendance system using facial recognition. Learn to automate attendance tracking with OpenCV, Python, and deep learning models.

Detect drowsy drivers in real-time using eye-blink and head movement detection. Ideal for transportation safety and computer vision learners.

Learn to detect people, vehicles, and objects using YOLOv7 and Python. Perfect for surveillance, retail analytics, and security AI projects.

Build a smart surveillance tool to detect guns and knives in real-time using deep learning. A must-have for security and threat detection systems.

Create a real-time people counting application using video input and computer vision. Useful in malls, events, and smart cities.

Detect human emotions such as happy, sad, or angry from facial expressions. Learn face emotion recognition using CNN models.

Build a number plate recognition system using OpenCV and Tesseract OCR. Perfect for smart parking and traffic enforcement systems.

Train your model to recognize road signs like stop, yield, and speed limits using deep learning. Useful for autonomous vehicle projects.

Create a video-based intrusion detection system for homes and offices using zone detection and motion tracking.

Ensure workplace safety with a PPE detection system that identifies helmets, masks, and vests using deep learning models.

Build an AI tool to monitor crowd density and behavior using surveillance footage. Ideal for smart cities and event venues.

Detect vehicle crashes in real-time using CCTV footage and AI algorithms. Helps reduce emergency response time.

Calculate vehicle speed using object tracking and frame analysis. Great for smart traffic control systems.

Automate parking slot detection and vehicle entry monitoring using computer vision and machine learning.

Identify people wearing or not wearing masks using AI. Train CNNs for public health monitoring and compliance.

Detect hand gestures and assign actions using contour analysis and ML. Useful for touchless interfaces and gaming controls.

Track vehicle movement, classify vehicle types, and analyze congestion using video-based AI.

Build a fitness assistant using AI that tracks workout postures and corrects form with real-time feedback.

Detect falls among elderly individuals using video-based activity monitoring. Ideal for healthcare and assisted living facilities.

Monitor animal movement in forests using AI and drone surveillance. Great for conservation and research purposes.

Monitors driver behavior to detect distractions like phone use for safer driving.