Years of experience
Projects Completed
Technologies Mastered
Total Contributions
Deepfake Detection
Generative adversarial networks (GANs) can be used to generate a photo-realistic image from a low-dimension random noise. Such a synthesized (fake) image with inappropriate content can be used on social media networks, which can cause severe problems. With the aim to successfully detect fake images, an effective and efficient image forgery detector is necessary. So, I present a DeepFake Detection Model.
Indian Sign Language Translator
The processed input(Processed using a YOLO-v3 pretrained network for hand's frame detection with combination of HSV (Hue, Saturation, Value) and YCbCr (Luminance, Chrominance) based filters to segment out skin and remove background noise) is passed through a SqueezeNet model trained (via Transfer Learning) on a synthesized and cleaned Indian Sign Language dataset consisting of 10 classes, and ~2300+ images per class.
Healthcare Management System
The AI-powered healthcare project leverages advanced AI to revolutionize patient care. By analyzing patient data, including medical history, lab results, and imaging, AI models assist in accurate diagnosis and predict potential health risks. Personalized treatment plans are tailored to individual patient needs, adapting to real-time data.