🦺 Real-time AI safety monitoring for construction sites detects people, tracks movement & analyzes crowd trajectories using YOLOv8 + OpenCV
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Updated
Mar 4, 2026 - Python
🦺 Real-time AI safety monitoring for construction sites detects people, tracks movement & analyzes crowd trajectories using YOLOv8 + OpenCV
This is a flood detection image classification project. The goal is to compare multiple deep learning architectures for the same task and provide a clear, interactive way to test them.
AI-powered halal food detector that analyzes product photos using OCR, logo detection, and databases to determine halal status with confidence scoring.
AI-powered touchless computer control system using OpenCV, MediaPipe and SVM for real-time hand gesture and head movement interaction.
A computer vision project that detects and tracks human body keypoints in images and video using 'Digital Image Processing techniques.
Plant disease classifier built with MobileNetV2 transfer learning, fine-tuning, TensorFlow, and Streamlit.
A computer vision project that performs real-world object detection and tagging using Connected Component Labeling (CCL) — applied to various real-world images including cars, coins, binary images, and more.
A multimodal deep learning framework for real-time detection of deepfakes and AI misinformation. Fuses semantic text analysis (NLP) with frequency-domain video forensics (FFT) to generate a unified Trust Score.
EyeNet is a camera-first, real-time surveillance system intended for campus / institutional environments. It continuously processes a live video feed and converts computer-vision detections into actionable incidents: persisted audit records, real-time dashboards, and automated notifications.
🚗 🇧🇩 Vehicle Detection & Classification in Bangladesh Highway Surveillance | YOLO11x Fine-Tuning
This project uses YOLOv8 and OpenCV to perform real-time object detection using webcam input.
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