Replication of speech to facial landmarks results

Landmark Detection and Tracking (SLAM) project for Udacity Computer Vision Nanodegree (CVND) program.

Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment using elements of probability, motion models, linear algerbra.

A website that helps models improve their craft at an amateur stage.

Landmark Recognition Using Transfer Learning with PyTorch

Project for information security. We`re gonna recognize human emotions in the video.

The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.

Automatically predict the location of the image based on any landmarks depicted in the image.

The project aims to build strong CNN image classification models to automatically predict the location of the image based on any landmarks depicted in an image.

Area and Volume Algorithms on 3D Models

🎥 CyberEye is an AI-powered Flask web app for detecting deepfakes in videos by analyzing facial landmarks and consistency. Upload videos, review frame-by-frame analysis, and get visual classification results with an intuitive interface.

Developed an Indian Sign Language detection model integrated with a Flask app, enabling real-time gesture recognition and user-friendly interaction for accessible communication.