🛠️ Prepare images, label data, set up your environment, and train YOLO models for real-time detection with this comprehensive guide.

Real‑time crime detection system using VideoMAE, Flask, async camera streaming, alert snapshots, and email notifications.

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

A compact, end-to-end workflow for creating and deploying a custom YOLO object detection model—from labeling and dataset preparation to training and real-time inference.

CleanStream is an OBS plugin that uses AI to clean live audio streams from unwanted words and utterances

Real-time Al animal detector using TensorFlow + OpenCV. Identifies elephants, lions, tigers, and more plays alert sounds when danger is detected. Perfect for forest safety & wildlife monitoring.

A real-time AI-based attendance system that detects and identifies students using face recognition and emotion analysis. Built with Flask, OpenCV, and TensorFlow, it automatically marks attendance, detects emotions, and logs data in CSV format between 9:30–10:00 AM.

DeskVision Pro — Real-time computer vision app powered by YOLOv8, Streamlit, and MediaPipe. Detect, track, and analyze movement with heatmaps, zone counting, and hand tracking — all in one interactive dashboard.

AI-powered real-time road hazard detection system that identifies potholes, speed breakers, and other obstacles using YOLOv8 and computer vision — ensuring safer, smarter, and privacy-preserving mobility.

ESP32 Human Detection YOLOv8 A system that uses an ESP32-CAM as a video/image streaming device and a YOLOv8 Python backend to detect humans in real time. The ESP32 handles camera streaming, while the YOLOv8 model runs locally on a PC/server to analyze frames for human presence.

AI-powered tool to locate lost objects in a room using your camera. Upload a photo of the missing item, and RoomScan scans the environment in real-time, highlighting the object with bounding boxes. Supports laptop webcams and iPhone via iVCam. Custom YOLOv8 training allows >90% detection accuracy for personal objects.

YOLO-DetectionROS2 is a repository containing object detection implementations using YOLOv5 and YOLOv12 on ROS2 (Robot Operating System 2).

Sistema modular de detección facial en tiempo real, con integración de Telegram y despliegue en producción.

AI-based plant leaf disease detection using VGG16 CNN with GUI, image upload, webcam, Telegram alerts

Real-Time Anomaly detection in Timeseries streaming data

Yoga Pose Detection using GANs and Real-Time Pose Estimation is a computer vision project that detects and classifies yoga poses from static images or webcam feeds. It uses GANs for data augmentation, keypoint detection models like OpenPose and PoseNet, and machine learning classifiers to evaluate pose accuracy and provide real-time feedback.

Sign Language Recognition Platform - A real-time American Sign Language (ASL) recognition system using MediaPipe and React for empowering communication between hearing-impaired individuals and the wider world.

Real-time person detection using YOLOv8 and OpenCV.

An intelligent conversational weather assistant powered by AI models and real-time meteorological data written in Python

Counter-Strike 1.6 Aimbot using Yolo11n object detection model