SARAVANAN VEERAKUMAR

Projects

Covid-19 Detection from X-ray using Computer Vision

#Python #Tensorflow #Keras #Streamlit #OpenCV

A computer vision-based project leveraging deep learning techniques to detect COVID-19 from chest X-ray images. The project demonstrates the potential of AI in healthcare diagnostics.
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Anomaly Detection in Medical billing data using GANs

#Tensorflow #Scikit-learn #Python #Streamit

This project leverages Generative Adversarial Networks (GANs) to detect anomalies in medical billing data. It includes a training pipeline for building GAN models and an interactive Streamlit-based web application for anomaly detection.

Facial Recognition System

#Python #OpenCV #Dlib #Numpy #Scikit-learn #Streamlit

A Python-based facial recognition system that can identify and verify faces in images. This project utilizes pre-trained models, OpenCV, Dlib, and the face-recognition library to perform face detection, feature extraction, and recognition.

Object Detection System using OpenCV

#YOLO #COCO #Python #Streamlit

The Object Detection System is a Streamlit-based web application that uses a YOLO (You Only Look Once) model to perform real-time object detection. Users can upload images, and the app detects and labels objects within the image using bounding boxes and confidence scores.

Road Lane Detection using OpenCV

#Python #OpenCV #Numpy #Hough Line transformation

This project uses computer vision techniques to detect lanes in a given video. It processes the video frame by frame, applies image preprocessing, region-of-interest (ROI) extraction, Hough line transformation, and overlays the detected lane lines onto the original video.