vishnu

Developed an object detection model using Python and OpenCV. Implemented real-time object recognition using computer vision techniques. Improved detection accuracy through image processing and model optimization.

Developed an AR-based application to overlay digital objects in a real-world environment. Used computer vision techniques for marker detection and object placement. Enhanced interactive visualization using Python-based AR tools.

Built a virtual mouse system that controls the computer cursor using hand gestures. Used Python, OpenCV, and MediaPipe for hand tracking and gesture recognition. Enabled click, scroll, and movement functions without physical hardware.

Built a machine learning model to detect plant diseases from leaf images. Used Python, TensorFlow / CNN models, and image processing for classification. Designed a system to help farmers identify diseases early and improve crop health.

Developed an AI-based Smart Surveillance System using Python, OpenCV, and DeepFace for real-time face detection and recognition. Implemented owner authentication and intruder detection by comparing live camera faces with the registered owner image. Built a live monitoring dashboard using Streamlit to display real-time video feeds from laptop webcam, mobile camera, and CCTV/IP cameras. Integrated Telegram Bot API for automated alerts, sending notifications and captured intruder images instantly to the user. Designed a security logging system that stores intruder images and detection data for analysis and monitoring.