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A deep learning-based web application for detecting adult content in videos using CNN architecture. Features real-time analysis for both direct uploads and YouTube URLs with a responsive dark-themed UI.
FilterX is an innovative webcam application that enhances your video feed with artistic filters like X-ray, sepia, and night vision. Capture stunning images and explore vibrant colors with intuitive controls. FilterX transforms every moment into a unique visual experience, redefining creativity and expression in real time.
A real-time voice-to-text and text-to-speech AI pipeline using Whisper, an LLM, and Edge-TTS with tunable parameters for low-latency audio processing and response generation.
EdgeVisionCam is a real-time edge detection tool using Python and Pygame. It processes live webcam video to highlight edges and contours, offering a clear view of your environment's features. With an easy-to-use interface and adjustable settings, EdgeVisionCam is ideal for dynamic visual analysis.
This repository houses a full-stack application which is used to create a real time stock price dashboard in Python, with the use of the streamlit and yfinance libraries.
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
A web application for real-time pose estimation and exercise form correction using OpenCV, MediaPipe, and Flask. Supports various gym exercises like squats, push-ups, bench press, and more.
This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.
Backend workflows for SatVision's real-time satellite image and land cover segmentation renderer. Deploys the novel patchify-process-reconstruct approach to run DL-driven segmentation inference in real-time.